Dataset statistics
| Number of variables | 32 |
|---|---|
| Number of observations | 930 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 9.8 MiB |
| Average record size in memory | 10.8 KiB |
Variable types
| CAT | 15 |
|---|---|
| BOOL | 9 |
| NUM | 8 |
Reproduction
| Analysis started | 2020-11-05 19:46:25.685100 |
|---|---|
| Analysis finished | 2020-11-05 19:46:47.200511 |
| Duration | 21.52 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
Headquarters has constant value "-1" | Constant |
Competitors has constant value "-1" | Constant |
Job Title has a high cardinality: 201 distinct values | High cardinality |
Salary Estimate has a high cardinality: 291 distinct values | High cardinality |
Job Description has a high cardinality: 441 distinct values | High cardinality |
Company Name has a high cardinality: 401 distinct values | High cardinality |
Location has a high cardinality: 253 distinct values | High cardinality |
Industry has a high cardinality: 73 distinct values | High cardinality |
Company_name_text has a high cardinality: 401 distinct values | High cardinality |
max_salary is highly correlated with min_salary and 1 other fields | High correlation |
min_salary is highly correlated with max_salary and 1 other fields | High correlation |
avg_salary is highly correlated with min_salary and 1 other fields | High correlation |
Sector is highly correlated with Industry | High correlation |
Industry is highly correlated with Sector | High correlation |
df_index has unique values | Unique |
| Distinct count | 930 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 723.7763440860215 |
|---|---|
| Minimum | 0 |
| Maximum | 1497 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 53.35 |
| Q1 | 326.25 |
| median | 721.5 |
| Q3 | 1113.75 |
| 95-th percentile | 1420.55 |
| Maximum | 1497 |
| Range | 1497 |
| Interquartile range (IQR) | 787.5 |
Descriptive statistics
| Standard deviation | 445.2422902 |
|---|---|
| Coefficient of variation (CV) | 0.615165574 |
| Kurtosis | -1.246842534 |
| Mean | 723.7763441 |
| Median Absolute Deviation (MAD) | 394 |
| Skewness | 0.04249167713 |
| Sum | 673112 |
| Variance | 198240.697 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1497 | 1 | 0.1% | |
| 445 | 1 | 0.1% | |
| 460 | 1 | 0.1% | |
| 459 | 1 | 0.1% | |
| 457 | 1 | 0.1% | |
| 456 | 1 | 0.1% | |
| 455 | 1 | 0.1% | |
| 453 | 1 | 0.1% | |
| 452 | 1 | 0.1% | |
| 451 | 1 | 0.1% | |
| 450 | 1 | 0.1% | |
| 448 | 1 | 0.1% | |
| 447 | 1 | 0.1% | |
| 446 | 1 | 0.1% | |
| 443 | 1 | 0.1% | |
| 326 | 1 | 0.1% | |
| 442 | 1 | 0.1% | |
| 441 | 1 | 0.1% | |
| 440 | 1 | 0.1% | |
| 439 | 1 | 0.1% | |
| 438 | 1 | 0.1% | |
| 434 | 1 | 0.1% | |
| 427 | 1 | 0.1% | |
| 426 | 1 | 0.1% | |
| 425 | 1 | 0.1% | |
| Other values (905) | 905 | 97.3% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.1% | |
| 1 | 1 | 0.1% | |
| 2 | 1 | 0.1% | |
| 3 | 1 | 0.1% | |
| 4 | 1 | 0.1% | |
| 6 | 1 | 0.1% | |
| 7 | 1 | 0.1% | |
| 8 | 1 | 0.1% | |
| 9 | 1 | 0.1% | |
| 10 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 1497 | 1 | 0.1% | |
| 1496 | 1 | 0.1% | |
| 1495 | 1 | 0.1% | |
| 1493 | 1 | 0.1% | |
| 1492 | 1 | 0.1% | |
| 1491 | 1 | 0.1% | |
| 1490 | 1 | 0.1% | |
| 1489 | 1 | 0.1% | |
| 1488 | 1 | 0.1% | |
| 1485 | 1 | 0.1% |
| Distinct count | 201 |
|---|---|
| Unique (%) | 21.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| Data Analyst | |
|---|---|
| Data Analyst - Financial | 28 |
| Analyst, Data (SQL/Power BI) | 27 |
| Validation Laboratory Software Tool Developer - Data Analyst | 27 |
| Data Science Support Analyst | 27 |
| Other values (196) |
| Value | Count | Frequency (%) | |
| Data Analyst | 553 | 59.5% | |
| Data Analyst - Financial | 28 | 3.0% | |
| Analyst, Data (SQL/Power BI) | 27 | 2.9% | |
| Validation Laboratory Software Tool Developer - Data Analyst | 27 | 2.9% | |
| Data Science Support Analyst | 27 | 2.9% | |
| Data Analyst with Pyspark | 26 | 2.8% | |
| Senior Data Analyst | 6 | 0.6% | |
| Strategic Data Analyst | 4 | 0.4% | |
| Data Quality Analyst | 3 | 0.3% | |
| Data Analyst II | 3 | 0.3% | |
| Marketing Data Analyst | 3 | 0.3% | |
| Data Analyst - Listings | 3 | 0.3% | |
| SAP Data Analyst | 2 | 0.2% | |
| Oracle Data Analysts | 2 | 0.2% | |
| Supply Chain Data Analyst | 2 | 0.2% | |
| Data Science Division - Research Analyst | 2 | 0.2% | |
| Data Analyst - Sales Performance | 2 | 0.2% | |
| Python Developer and Data Analyst | 2 | 0.2% | |
| Remote Data Analyst | 2 | 0.2% | |
| Data Lineage Analyst | 2 | 0.2% | |
| Data Governance Analyst | 2 | 0.2% | |
| Morgan Stanley Research - AlphaWise Data Analytics Analyst / Associate | 2 | 0.2% | |
| Workforce Data Analyst | 2 | 0.2% | |
| Business Intelligence Analyst - Data & Analytics | 2 | 0.2% | |
| Senior Data Visualization Analyst | 2 | 0.2% | |
| Other values (176) | 194 | 20.9% |
Length
| Max length | 84 |
|---|---|
| Median length | 12 |
| Mean length | 20.04408602 |
| Min length | 12 |
Most occurring characters
| Value | Count | Frequency (%) | |
| a | 3302 | 17.7% | |
| t | 2249 | 12.1% | |
| 1920 | 10.3% | ||
| n | 1361 | 7.3% | |
| l | 1175 | 6.3% | |
| s | 1158 | 6.2% | |
| y | 1043 | 5.6% | |
| A | 989 | 5.3% | |
| D | 987 | 5.3% | |
| e | 599 | 3.2% | |
| i | 470 | 2.5% | |
| o | 438 | 2.3% | |
| r | 437 | 2.3% | |
| c | 237 | 1.3% | |
| S | 225 | 1.2% | |
| p | 167 | 0.9% | |
| - | 119 | 0.6% | |
| u | 116 | 0.6% | |
| P | 102 | 0.5% | |
| d | 93 | 0.5% | |
| L | 89 | 0.5% | |
| g | 88 | 0.5% | |
| I | 87 | 0.5% | |
| w | 84 | 0.5% | |
| m | 78 | 0.4% | |
| Other values (43) | 1028 | 5.5% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 13353 | 71.6% | |
| Uppercase Letter | 2984 | 16.0% | |
| Space Separator | 1920 | 10.3% | |
| Other Punctuation | 141 | 0.8% | |
| Dash Punctuation | 119 | 0.6% | |
| Open Punctuation | 52 | 0.3% | |
| Close Punctuation | 52 | 0.3% | |
| Decimal Number | 20 | 0.1% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| A | 989 | 33.1% | |
| D | 987 | 33.1% | |
| S | 225 | 7.5% | |
| P | 102 | 3.4% | |
| L | 89 | 3.0% | |
| I | 87 | 2.9% | |
| C | 62 | 2.1% | |
| T | 54 | 1.8% | |
| Q | 51 | 1.7% | |
| B | 51 | 1.7% | |
| M | 48 | 1.6% | |
| F | 38 | 1.3% | |
| V | 37 | 1.2% | |
| R | 34 | 1.1% | |
| E | 27 | 0.9% | |
| O | 26 | 0.9% | |
| H | 22 | 0.7% | |
| W | 12 | 0.4% | |
| N | 12 | 0.4% | |
| G | 9 | 0.3% | |
| Y | 8 | 0.3% | |
| U | 7 | 0.2% | |
| J | 5 | 0.2% | |
| X | 2 | 0.1% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| a | 3302 | 24.7% | |
| t | 2249 | 16.8% | |
| n | 1361 | 10.2% | |
| l | 1175 | 8.8% | |
| s | 1158 | 8.7% | |
| y | 1043 | 7.8% | |
| e | 599 | 4.5% | |
| i | 470 | 3.5% | |
| o | 438 | 3.3% | |
| r | 437 | 3.3% | |
| c | 237 | 1.8% | |
| p | 167 | 1.3% | |
| u | 116 | 0.9% | |
| d | 93 | 0.7% | |
| g | 88 | 0.7% | |
| w | 84 | 0.6% | |
| m | 78 | 0.6% | |
| h | 70 | 0.5% | |
| v | 47 | 0.4% | |
| k | 45 | 0.3% | |
| f | 39 | 0.3% | |
| b | 38 | 0.3% | |
| x | 8 | 0.1% | |
| z | 5 | < 0.1% | |
| j | 4 | < 0.1% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1920 | 100.0% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| , | 69 | 48.9% | |
| / | 50 | 35.5% | |
| . | 11 | 7.8% | |
| & | 10 | 7.1% | |
| ' | 1 | 0.7% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 119 | 100.0% |
Most frequent Open Punctuation characters
| Value | Count | Frequency (%) | |
| ( | 51 | 98.1% | |
| [ | 1 | 1.9% |
Most frequent Close Punctuation characters
| Value | Count | Frequency (%) | |
| ) | 51 | 98.1% | |
| ] | 1 | 1.9% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 1 | 6 | 30.0% | |
| 0 | 5 | 25.0% | |
| 9 | 3 | 15.0% | |
| 2 | 3 | 15.0% | |
| 4 | 1 | 5.0% | |
| 3 | 1 | 5.0% | |
| 5 | 1 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 16337 | 87.6% | |
| Common | 2304 | 12.4% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| a | 3302 | 20.2% | |
| t | 2249 | 13.8% | |
| n | 1361 | 8.3% | |
| l | 1175 | 7.2% | |
| s | 1158 | 7.1% | |
| y | 1043 | 6.4% | |
| A | 989 | 6.1% | |
| D | 987 | 6.0% | |
| e | 599 | 3.7% | |
| i | 470 | 2.9% | |
| o | 438 | 2.7% | |
| r | 437 | 2.7% | |
| c | 237 | 1.5% | |
| S | 225 | 1.4% | |
| p | 167 | 1.0% | |
| u | 116 | 0.7% | |
| P | 102 | 0.6% | |
| d | 93 | 0.6% | |
| L | 89 | 0.5% | |
| g | 88 | 0.5% | |
| I | 87 | 0.5% | |
| w | 84 | 0.5% | |
| m | 78 | 0.5% | |
| h | 70 | 0.4% | |
| C | 62 | 0.4% | |
| Other values (25) | 631 | 3.9% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1920 | 83.3% | ||
| - | 119 | 5.2% | |
| , | 69 | 3.0% | |
| ( | 51 | 2.2% | |
| ) | 51 | 2.2% | |
| / | 50 | 2.2% | |
| . | 11 | 0.5% | |
| & | 10 | 0.4% | |
| 1 | 6 | 0.3% | |
| 0 | 5 | 0.2% | |
| 9 | 3 | 0.1% | |
| 2 | 3 | 0.1% | |
| 4 | 1 | < 0.1% | |
| 3 | 1 | < 0.1% | |
| 5 | 1 | < 0.1% | |
| ' | 1 | < 0.1% | |
| [ | 1 | < 0.1% | |
| ] | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 18641 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| a | 3302 | 17.7% | |
| t | 2249 | 12.1% | |
| 1920 | 10.3% | ||
| n | 1361 | 7.3% | |
| l | 1175 | 6.3% | |
| s | 1158 | 6.2% | |
| y | 1043 | 5.6% | |
| A | 989 | 5.3% | |
| D | 987 | 5.3% | |
| e | 599 | 3.2% | |
| i | 470 | 2.5% | |
| o | 438 | 2.3% | |
| r | 437 | 2.3% | |
| c | 237 | 1.3% | |
| S | 225 | 1.2% | |
| p | 167 | 0.9% | |
| - | 119 | 0.6% | |
| u | 116 | 0.6% | |
| P | 102 | 0.5% | |
| d | 93 | 0.5% | |
| L | 89 | 0.5% | |
| g | 88 | 0.5% | |
| I | 87 | 0.5% | |
| w | 84 | 0.5% | |
| m | 78 | 0.4% | |
| Other values (43) | 1028 | 5.5% |
| Distinct count | 291 |
|---|---|
| Unique (%) | 31.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| $45K-$81K (Glassdoor est.) | 31 |
|---|---|
| $49K-$88K (Glassdoor est.) | 30 |
| $43K-$80K (Glassdoor est.) | 29 |
| $35K-$64K (Glassdoor est.) | 29 |
| $55K-$94K (Glassdoor est.) | 29 |
| Other values (286) |
| Value | Count | Frequency (%) | |
| $45K-$81K (Glassdoor est.) | 31 | 3.3% | |
| $49K-$88K (Glassdoor est.) | 30 | 3.2% | |
| $43K-$80K (Glassdoor est.) | 29 | 3.1% | |
| $35K-$64K (Glassdoor est.) | 29 | 3.1% | |
| $55K-$94K (Glassdoor est.) | 29 | 3.1% | |
| $36K-$65K (Glassdoor est.) | 29 | 3.1% | |
| $49K-$86K (Glassdoor est.) | 29 | 3.1% | |
| $39K-$71K (Glassdoor est.) | 28 | 3.0% | |
| $55K-$87K (Glassdoor est.) | 28 | 3.0% | |
| $71K-$96K (Glassdoor est.) | 27 | 2.9% | |
| $29K-$51K (Glassdoor est.) | 27 | 2.9% | |
| $59K-$100K (Glassdoor est.) | 27 | 2.9% | |
| $44K-$80K (Glassdoor est.) | 26 | 2.8% | |
| $63K-$106K (Glassdoor est.) | 26 | 2.8% | |
| $53K-$92K (Glassdoor est.) | 26 | 2.8% | |
| $46K-$86K (Glassdoor est.) | 9 | 1.0% | |
| $38K-$66K (Glassdoor est.) | 8 | 0.9% | |
| $41K-$75K (Glassdoor est.) | 8 | 0.9% | |
| $36K-$66K (Glassdoor est.) | 7 | 0.8% | |
| $40K-$71K (Glassdoor est.) | 7 | 0.8% | |
| $33K-$60K (Glassdoor est.) | 7 | 0.8% | |
| $53K-$95K (Glassdoor est.) | 6 | 0.6% | |
| $46K-$85K (Glassdoor est.) | 6 | 0.6% | |
| $47K-$85K (Glassdoor est.) | 6 | 0.6% | |
| $34K-$60K (Glassdoor est.) | 5 | 0.5% | |
| Other values (266) | 440 | 47.3% |
Length
| Max length | 32 |
|---|---|
| Median length | 26 |
| Mean length | 26.1827957 |
| Min length | 25 |
Most occurring characters
| Value | Count | Frequency (%) | |
| s | 2784 | 11.4% | |
| 1862 | 7.6% | ||
| $ | 1860 | 7.6% | |
| o | 1859 | 7.6% | |
| K | 1856 | 7.6% | |
| e | 935 | 3.8% | |
| r | 934 | 3.8% | |
| - | 930 | 3.8% | |
| ( | 930 | 3.8% | |
| l | 930 | 3.8% | |
| t | 930 | 3.8% | |
| . | 930 | 3.8% | |
| ) | 930 | 3.8% | |
| G | 927 | 3.8% | |
| a | 927 | 3.8% | |
| d | 927 | 3.8% | |
| 4 | 520 | 2.1% | |
| 5 | 513 | 2.1% | |
| 6 | 487 | 2.0% | |
| 3 | 432 | 1.8% | |
| 8 | 412 | 1.7% | |
| 1 | 400 | 1.6% | |
| 9 | 376 | 1.5% | |
| 7 | 302 | 1.2% | |
| 0 | 270 | 1.1% | |
| Other values (8) | 187 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 10237 | 42.0% | |
| Decimal Number | 3881 | 15.9% | |
| Uppercase Letter | 2790 | 11.5% | |
| Space Separator | 1862 | 7.6% | |
| Currency Symbol | 1860 | 7.6% | |
| Dash Punctuation | 930 | 3.8% | |
| Open Punctuation | 930 | 3.8% | |
| Other Punctuation | 930 | 3.8% | |
| Close Punctuation | 930 | 3.8% |
Most frequent Currency Symbol characters
| Value | Count | Frequency (%) | |
| $ | 1860 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 4 | 520 | 13.4% | |
| 5 | 513 | 13.2% | |
| 6 | 487 | 12.5% | |
| 3 | 432 | 11.1% | |
| 8 | 412 | 10.6% | |
| 1 | 400 | 10.3% | |
| 9 | 376 | 9.7% | |
| 7 | 302 | 7.8% | |
| 0 | 270 | 7.0% | |
| 2 | 169 | 4.4% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| K | 1856 | 66.5% | |
| G | 927 | 33.2% | |
| E | 3 | 0.1% | |
| P | 2 | 0.1% | |
| H | 2 | 0.1% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 930 | 100.0% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1862 | 100.0% |
Most frequent Open Punctuation characters
| Value | Count | Frequency (%) | |
| ( | 930 | 100.0% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| s | 2784 | 27.2% | |
| o | 1859 | 18.2% | |
| e | 935 | 9.1% | |
| r | 934 | 9.1% | |
| l | 930 | 9.1% | |
| t | 930 | 9.1% | |
| a | 927 | 9.1% | |
| d | 927 | 9.1% | |
| m | 3 | < 0.1% | |
| p | 3 | < 0.1% | |
| y | 3 | < 0.1% | |
| u | 2 | < 0.1% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| . | 930 | 100.0% |
Most frequent Close Punctuation characters
| Value | Count | Frequency (%) | |
| ) | 930 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 13027 | 53.5% | |
| Common | 11323 | 46.5% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1862 | 16.4% | ||
| $ | 1860 | 16.4% | |
| - | 930 | 8.2% | |
| ( | 930 | 8.2% | |
| . | 930 | 8.2% | |
| ) | 930 | 8.2% | |
| 4 | 520 | 4.6% | |
| 5 | 513 | 4.5% | |
| 6 | 487 | 4.3% | |
| 3 | 432 | 3.8% | |
| 8 | 412 | 3.6% | |
| 1 | 400 | 3.5% | |
| 9 | 376 | 3.3% | |
| 7 | 302 | 2.7% | |
| 0 | 270 | 2.4% | |
| 2 | 169 | 1.5% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| s | 2784 | 21.4% | |
| o | 1859 | 14.3% | |
| K | 1856 | 14.2% | |
| e | 935 | 7.2% | |
| r | 934 | 7.2% | |
| l | 930 | 7.1% | |
| t | 930 | 7.1% | |
| G | 927 | 7.1% | |
| a | 927 | 7.1% | |
| d | 927 | 7.1% | |
| E | 3 | < 0.1% | |
| m | 3 | < 0.1% | |
| p | 3 | < 0.1% | |
| y | 3 | < 0.1% | |
| P | 2 | < 0.1% | |
| H | 2 | < 0.1% | |
| u | 2 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 24350 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| s | 2784 | 11.4% | |
| 1862 | 7.6% | ||
| $ | 1860 | 7.6% | |
| o | 1859 | 7.6% | |
| K | 1856 | 7.6% | |
| e | 935 | 3.8% | |
| r | 934 | 3.8% | |
| - | 930 | 3.8% | |
| ( | 930 | 3.8% | |
| l | 930 | 3.8% | |
| t | 930 | 3.8% | |
| . | 930 | 3.8% | |
| ) | 930 | 3.8% | |
| G | 927 | 3.8% | |
| a | 927 | 3.8% | |
| d | 927 | 3.8% | |
| 4 | 520 | 2.1% | |
| 5 | 513 | 2.1% | |
| 6 | 487 | 2.0% | |
| 3 | 432 | 1.8% | |
| 8 | 412 | 1.7% | |
| 1 | 400 | 1.6% | |
| 9 | 376 | 1.5% | |
| 7 | 302 | 1.2% | |
| 0 | 270 | 1.1% | |
| Other values (8) | 187 | 0.8% |
| Distinct count | 441 |
|---|---|
| Unique (%) | 47.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| Position: Data Analyst Agency: New York City Employees’ Retirement System’s (NYCERS). Project Name:Information Technology (IT) Division. Duration: 3 Years Project Description: NYCERS seeks one (1) Data Analyst with ETL Expertise to work with the Information Technology (IT) Division for a period up to 36 months. NYCERS reserves the right to hire the candidate(s) as an employee, at no additional cost, after a period of six (6) months. The Data Analyst will primarily be responsible for detailed field level analysis, profiling and mapping of the current IBM z/VSE Mainframe VSAM files loaded into SQL tables. Mandatory Skills: Candidates must meet all the requirements below to be considered for this position. Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe, relational database and object storage environments. Experience creating and/or maintaining ETL applications. Experience migrating mainframe VSAM files to relational and/or dimensional SQL databases. Experience working in multiple development environments/systems: IBM Mainframe, Windows Server, UNIX and SQL Server. Strong SQL knowledge working with complex queries and stored procedures. Proficiency in mainframe applications encompassing COBOL, VSAM and DB2. Experience creating data dictionary documentation and data definitions/domains. Excellent interpersonal, communication, presentation, writing, analytical, problem solving, and information gathering skills along with fundamental technique troubleshooting abilities. Strong analytical skills demonstrated by the ability to receive and analyze requirements and propose a suitable solution that adheres to the team’s methodology. Preferred Experience: Experience with Data Quality/Profiling tools. Experience extracting business rules from the existing legacy code. Experience with Data Warehouses and/or Data Marts. If this isn’t the role for you, perhaps you have a friend or colleague that would be a fit. I would appreciate your help forwarding this to people in your extended network that may be interested in exploring the opportunity. I look forward to hearing from you soon. -- Regards, Asim Ghafar Technical Recruiter. ZDAAS 1107 North Point Blvd, Ste 228 Baltimore, MD 21224 Office: 443-836-4932 X 1004 Cell: 239-666-8767 hr3@zd-techsolutions.com | 28 |
|---|---|
| Provide analytical support and user assistance within the assigned financial business systems within Community Healthcare System. Lead and perform complex analysis in an evolving data environment. Collect and study data to reveal ways to enhance operational efficiencies. Assist customers in transforming data into information through logical data models which are then used to synthesize the data into information that fits the customer’s needs. Contribute to providing appropriate information and reports to decision makers to help make better fact-based business decisions. Transforming data includes importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for decision-making purposes. Present data in charts, graphs, tables, designing and developing relational databases for collecting data. May provide database design and management services. Make recommendations about the methods a company should use to collect, analyze and manage data to improve data quality and the efficiency of data systems. To Qualify You Must Have: Bachelors Degree required, preferably in Finance, Economics or healthcare related. Minimum 3-5 years of experience in Financial Analysis and a basic understanding of healthcare systems and general operations is preferred. Proficiency in using Windows operating systems, Microsoft Office applications, Internet and Intranet required. Intermediate to Advanced level of proficiency with MS Outlook, Word, Excel and other computer system applications. PowerPoint and other analytical applications such as Crystal Reports and SAS are a plus; must be able to develop simple graphs and charts to explain how the analysis will influence the business. Possess exceptional verbal written communication and presentation skills, analytical and data management skills knowledge necessary to explain results of statistical findings in layman terms a business customer will understand. Strong interpersonal skills and ability to work collegially and collaboratively with all levels and functions with the company to foster partnership and teamwork. Must have the ability to use cognitive reasoning to analyze, diagnose and resolve problems. Excellent organizational and project management skills with the attention to detail, without losing focus on the overall objective and goal. Excellent problem-solving, organization and analytical skills. Ability to work independently and multi-task while working in a collaborative, team environment with a positive attitude. Must be able to work in a fast paced, technical and cross-functional environment. | 28 |
| U.S. News & World Report is a digital first media company dedicated to helping consumers and business professionals make important decisions. We publish independent reporting, rankings, data journalism and advice that has earned the trust of our readers and users for more than 85 years. As a trusted authority providing empowerment and guidance that improves the quality of life for consumers and communities, U.S. News ultimately leads to better life decisions. Your role in helping us shape the future: As a member of the U.S. News Money team, you will be involved in supporting the Money product team to help drive the future of our business; you will be a key member of a fast-growing organization that is goal-oriented and re-shaping our future. The primary responsibilities of the Data Analyst will be to ensure rankings data quality in a timely manner. Are you up to the challenge? Collect and analyze data for Money rankings, including fielding surveys Develop expertise in ranking methodologies and data sources Develop quality assurance procedures for data collected internally and from third party sources; ensuring accuracy of rankings computations and information displayed on usnews.com Coordinate closely with U.S. News technical team on the development efforts related to rankings launches; providing detailed written specs, assisting in troubleshooting bugs, and testing the accuracy of data loads Analysis tasks may include computing scores on ranking factors, modeling impact of potential methodology changes, performing multiple regression analyses, testing for statistical outliers and producing data visualizations Meet specific project deadlines and timelines set by the product management and tech teams Provide editorial and PR team with data used in articles, short lists, and slideshows as well as assist in the review process prior to publication Recommend new methodologies and product features based upon data analysis On-going data and product QA, with detailed-oriented eye for errors/ bugs You should definitely have: Bachelor’s degree in data science or a related field or equivalent experience 3+ years relevant work experience High level proficiency working in MS Office Suite, specifically in Excel Knowledge of database structures and experience writing SQL select statements to query databases Strong oral and written communication skills Excelled in college-level quantitative coursework (economics, math, statistics or computer science) Attention to detail, excellent organizational skills and strong time management skills It would be nice if you had: Experience in JIRA Up-to-date knowledge on Internet publishing and metrics, with an acute understanding of SEO, is a plus What it’s like to work with us: Talent is our best asset! We invest in people with passion and potential who understand U.S. News’ dedication to our consumers. Entrepreneurial, mission-driven culture with core values of quality and integrity Focus on fostering personal and professional growth Competitive benefits including paid vacation time, medical, tuition reimbursement, and training Collaborative Work Environment ~ Fun, diverse, inclusive and ambitious co-workers Other Job Info: These statements are intended to describe the general nature and level of work being performed by employees assigned to this job. This is not intended to be an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job. Please note that we will not offer visa sponsorship for this position. | 28 |
| Develops and maintains institutional databases, which facilitate internal and external reporting. Essential Functions Coordinates with internal/external entities to collect, manage, and analyze data; verifies information for completeness and accuracy. Compiles data for report generation that satisfies internal/external funding reporting requirements. Provides timely data analysis and generates reports for dissemination at presentations, trainings, and board meetings. Designs, implements, and manages relational databases to meet obligatory set of data required by funding agencies; records and arranges information in specified order or groupings. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system. Reviews computer system capabilities, workflow, and scheduling limitations to determine if requested program or program change is possible within existing system. Studies existing information processing systems to evaluate effectiveness and develops new systems to improve production or workflow as required. Upgrades system and corrects errors to maintain system after implementation; trains users in use of equipment. Knowledge of all Microsoft Office software and able to learn and use institutional software systems. Complies with all State and University policies. Other duties may be assigned. No supervisory responsibilities. Required Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor’s Degree. Two years of experience, related to the statement of duties and responsibilities; or equivalent combination of education and experience. Training in developing and analyzing institutional databases, which facilitate internal and external reporting. Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to feel; and reach with hands and arms. The employee is occasionally required to stand; walk; and talk or hear. The employee must regularly be able to lift and move up to 50 lbs. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level for this work environment is usually moderate. EO/AA Statement The University of Texas at El Paso is an Equal Opportunity / Affirmative Action Employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, or sexual orientation and gender in employment or the provision of services in accordance with state and federal law. Discrimination on the basis of sex includes an employee’s or prospective employee’s right to be free from sexual harassment under Title IX of the Higher Education Amendments of 1972. | 27 |
| Job no: 495633 Work type: Regular Full-Time Location: Bethesda, MD Capability Area: Business Ventures and Innovation JOB DESCRIPTION: NORC at the University of Chicago is seeking a Data Analyst on our BEAD team. At NORC, Data Analysts work with our Data Scientists, and play a strategic role in supporting our research teams to produce valuable insights for our clients. They work collaboratively and help break down silos and barriers across the company to help drive innovative work. Under the leadership of Data Scientists, the Data Analysts contribute to the design and implementation of algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets; uses various technologies to enable data visualization; and creates applications of general value to the company’s business. Due to current COVID-19 safety measures, employees who can work from home, are required to do so. Once it is safe to resume standard practices of commuter travel and social interaction per government guidelines, we expect employees to maintain an office presence as required by projects needs and department leadership. This position in particular will be on-site at a Federal client several days a week once it is safe. DEPARTMENT: The Behavioral and Economic Analysis and Decision-Making (BEAD) team at NORC provides clients with actionable insights on critical policy and business issues. Applying rigorous, state-of-the-art methods from the fields of consumer behavior, judgment and decision-making, behavioral finance, household economics, cognitive science, experimental methods, and statistical analysis, BEAD obtains fact-based empirical evidence and distills the results into comprehensive, understandable, and usable reports and recommendations. RESPONSIBILITIES: Gathering results using a variety of techniques, ranging from simple data aggregation via statistical analysis to moderate to complex data mining. Support the presentation of data by developing charts, graphs and tables. Under close supervision, maintains databases/data systems, data dictionaries, etc. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's Degree in Math, Statistics, or Economics. 0 - 2 years experience in positions working with large datasets and conducting statistical and quantitative modeling, melding analytics with basic programming, data mining, clustering and segmentation. Domain expertise preferred. Strong written and verbal communication including technical writing skills. Basic data programming skills in statistical packages and database tools. Proficiency in R required. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we’re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics. Advertised: May 18, 2020 Eastern Daylight Time Applications close: | 27 |
| Other values (436) |
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| Position: Data Analyst Agency: New York City Employees’ Retirement System’s (NYCERS). Project Name:Information Technology (IT) Division. Duration: 3 Years Project Description: NYCERS seeks one (1) Data Analyst with ETL Expertise to work with the Information Technology (IT) Division for a period up to 36 months. NYCERS reserves the right to hire the candidate(s) as an employee, at no additional cost, after a period of six (6) months. The Data Analyst will primarily be responsible for detailed field level analysis, profiling and mapping of the current IBM z/VSE Mainframe VSAM files loaded into SQL tables. Mandatory Skills: Candidates must meet all the requirements below to be considered for this position. Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe, relational database and object storage environments. Experience creating and/or maintaining ETL applications. Experience migrating mainframe VSAM files to relational and/or dimensional SQL databases. Experience working in multiple development environments/systems: IBM Mainframe, Windows Server, UNIX and SQL Server. Strong SQL knowledge working with complex queries and stored procedures. Proficiency in mainframe applications encompassing COBOL, VSAM and DB2. Experience creating data dictionary documentation and data definitions/domains. Excellent interpersonal, communication, presentation, writing, analytical, problem solving, and information gathering skills along with fundamental technique troubleshooting abilities. Strong analytical skills demonstrated by the ability to receive and analyze requirements and propose a suitable solution that adheres to the team’s methodology. Preferred Experience: Experience with Data Quality/Profiling tools. Experience extracting business rules from the existing legacy code. Experience with Data Warehouses and/or Data Marts. If this isn’t the role for you, perhaps you have a friend or colleague that would be a fit. I would appreciate your help forwarding this to people in your extended network that may be interested in exploring the opportunity. I look forward to hearing from you soon. -- Regards, Asim Ghafar Technical Recruiter. ZDAAS 1107 North Point Blvd, Ste 228 Baltimore, MD 21224 Office: 443-836-4932 X 1004 Cell: 239-666-8767 hr3@zd-techsolutions.com | 28 | 3.0% | |
| Provide analytical support and user assistance within the assigned financial business systems within Community Healthcare System. Lead and perform complex analysis in an evolving data environment. Collect and study data to reveal ways to enhance operational efficiencies. Assist customers in transforming data into information through logical data models which are then used to synthesize the data into information that fits the customer’s needs. Contribute to providing appropriate information and reports to decision makers to help make better fact-based business decisions. Transforming data includes importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for decision-making purposes. Present data in charts, graphs, tables, designing and developing relational databases for collecting data. May provide database design and management services. Make recommendations about the methods a company should use to collect, analyze and manage data to improve data quality and the efficiency of data systems. To Qualify You Must Have: Bachelors Degree required, preferably in Finance, Economics or healthcare related. Minimum 3-5 years of experience in Financial Analysis and a basic understanding of healthcare systems and general operations is preferred. Proficiency in using Windows operating systems, Microsoft Office applications, Internet and Intranet required. Intermediate to Advanced level of proficiency with MS Outlook, Word, Excel and other computer system applications. PowerPoint and other analytical applications such as Crystal Reports and SAS are a plus; must be able to develop simple graphs and charts to explain how the analysis will influence the business. Possess exceptional verbal written communication and presentation skills, analytical and data management skills knowledge necessary to explain results of statistical findings in layman terms a business customer will understand. Strong interpersonal skills and ability to work collegially and collaboratively with all levels and functions with the company to foster partnership and teamwork. Must have the ability to use cognitive reasoning to analyze, diagnose and resolve problems. Excellent organizational and project management skills with the attention to detail, without losing focus on the overall objective and goal. Excellent problem-solving, organization and analytical skills. Ability to work independently and multi-task while working in a collaborative, team environment with a positive attitude. Must be able to work in a fast paced, technical and cross-functional environment. | 28 | 3.0% | |
| U.S. News & World Report is a digital first media company dedicated to helping consumers and business professionals make important decisions. We publish independent reporting, rankings, data journalism and advice that has earned the trust of our readers and users for more than 85 years. As a trusted authority providing empowerment and guidance that improves the quality of life for consumers and communities, U.S. News ultimately leads to better life decisions. Your role in helping us shape the future: As a member of the U.S. News Money team, you will be involved in supporting the Money product team to help drive the future of our business; you will be a key member of a fast-growing organization that is goal-oriented and re-shaping our future. The primary responsibilities of the Data Analyst will be to ensure rankings data quality in a timely manner. Are you up to the challenge? Collect and analyze data for Money rankings, including fielding surveys Develop expertise in ranking methodologies and data sources Develop quality assurance procedures for data collected internally and from third party sources; ensuring accuracy of rankings computations and information displayed on usnews.com Coordinate closely with U.S. News technical team on the development efforts related to rankings launches; providing detailed written specs, assisting in troubleshooting bugs, and testing the accuracy of data loads Analysis tasks may include computing scores on ranking factors, modeling impact of potential methodology changes, performing multiple regression analyses, testing for statistical outliers and producing data visualizations Meet specific project deadlines and timelines set by the product management and tech teams Provide editorial and PR team with data used in articles, short lists, and slideshows as well as assist in the review process prior to publication Recommend new methodologies and product features based upon data analysis On-going data and product QA, with detailed-oriented eye for errors/ bugs You should definitely have: Bachelor’s degree in data science or a related field or equivalent experience 3+ years relevant work experience High level proficiency working in MS Office Suite, specifically in Excel Knowledge of database structures and experience writing SQL select statements to query databases Strong oral and written communication skills Excelled in college-level quantitative coursework (economics, math, statistics or computer science) Attention to detail, excellent organizational skills and strong time management skills It would be nice if you had: Experience in JIRA Up-to-date knowledge on Internet publishing and metrics, with an acute understanding of SEO, is a plus What it’s like to work with us: Talent is our best asset! We invest in people with passion and potential who understand U.S. News’ dedication to our consumers. Entrepreneurial, mission-driven culture with core values of quality and integrity Focus on fostering personal and professional growth Competitive benefits including paid vacation time, medical, tuition reimbursement, and training Collaborative Work Environment ~ Fun, diverse, inclusive and ambitious co-workers Other Job Info: These statements are intended to describe the general nature and level of work being performed by employees assigned to this job. This is not intended to be an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job. Please note that we will not offer visa sponsorship for this position. | 28 | 3.0% | |
| Develops and maintains institutional databases, which facilitate internal and external reporting. Essential Functions Coordinates with internal/external entities to collect, manage, and analyze data; verifies information for completeness and accuracy. Compiles data for report generation that satisfies internal/external funding reporting requirements. Provides timely data analysis and generates reports for dissemination at presentations, trainings, and board meetings. Designs, implements, and manages relational databases to meet obligatory set of data required by funding agencies; records and arranges information in specified order or groupings. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system. Reviews computer system capabilities, workflow, and scheduling limitations to determine if requested program or program change is possible within existing system. Studies existing information processing systems to evaluate effectiveness and develops new systems to improve production or workflow as required. Upgrades system and corrects errors to maintain system after implementation; trains users in use of equipment. Knowledge of all Microsoft Office software and able to learn and use institutional software systems. Complies with all State and University policies. Other duties may be assigned. No supervisory responsibilities. Required Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor’s Degree. Two years of experience, related to the statement of duties and responsibilities; or equivalent combination of education and experience. Training in developing and analyzing institutional databases, which facilitate internal and external reporting. Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to feel; and reach with hands and arms. The employee is occasionally required to stand; walk; and talk or hear. The employee must regularly be able to lift and move up to 50 lbs. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level for this work environment is usually moderate. EO/AA Statement The University of Texas at El Paso is an Equal Opportunity / Affirmative Action Employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, or sexual orientation and gender in employment or the provision of services in accordance with state and federal law. Discrimination on the basis of sex includes an employee’s or prospective employee’s right to be free from sexual harassment under Title IX of the Higher Education Amendments of 1972. | 27 | 2.9% | |
| Job no: 495633 Work type: Regular Full-Time Location: Bethesda, MD Capability Area: Business Ventures and Innovation JOB DESCRIPTION: NORC at the University of Chicago is seeking a Data Analyst on our BEAD team. At NORC, Data Analysts work with our Data Scientists, and play a strategic role in supporting our research teams to produce valuable insights for our clients. They work collaboratively and help break down silos and barriers across the company to help drive innovative work. Under the leadership of Data Scientists, the Data Analysts contribute to the design and implementation of algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets; uses various technologies to enable data visualization; and creates applications of general value to the company’s business. Due to current COVID-19 safety measures, employees who can work from home, are required to do so. Once it is safe to resume standard practices of commuter travel and social interaction per government guidelines, we expect employees to maintain an office presence as required by projects needs and department leadership. This position in particular will be on-site at a Federal client several days a week once it is safe. DEPARTMENT: The Behavioral and Economic Analysis and Decision-Making (BEAD) team at NORC provides clients with actionable insights on critical policy and business issues. Applying rigorous, state-of-the-art methods from the fields of consumer behavior, judgment and decision-making, behavioral finance, household economics, cognitive science, experimental methods, and statistical analysis, BEAD obtains fact-based empirical evidence and distills the results into comprehensive, understandable, and usable reports and recommendations. RESPONSIBILITIES: Gathering results using a variety of techniques, ranging from simple data aggregation via statistical analysis to moderate to complex data mining. Support the presentation of data by developing charts, graphs and tables. Under close supervision, maintains databases/data systems, data dictionaries, etc. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's Degree in Math, Statistics, or Economics. 0 - 2 years experience in positions working with large datasets and conducting statistical and quantitative modeling, melding analytics with basic programming, data mining, clustering and segmentation. Domain expertise preferred. Strong written and verbal communication including technical writing skills. Basic data programming skills in statistical packages and database tools. Proficiency in R required. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we’re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics. Advertised: May 18, 2020 Eastern Daylight Time Applications close: | 27 | 2.9% | |
| Job Title Validation Laboratory Software Tool Developer - Data Analyst 22-Oct-2020 Division Vitesco Technologies Job Description Overview: This position has two missions: First, manage data within the appropriate tools as well as analyze and report data to the management team. Secondly, manage the administration tools and databases for the department. Core Responsibilities: Data Analytics & KPI Reporting • Manage the department data – process the data in a clear and concise manner. Provide thorough reports when requested. Develop new methods to improve data collection, data manipulation and data reporting. Communicate the information to the requester. • Conformance to plan – develop a firm understanding of the operations and associated expectations. Manage all KPIs to ensure a cohesive collection according to their purpose and function. Report regular status and issues in a clear and concise manner. • Configuration and change management - Ensure input & output is within prescribed guidelines. Develops, updates and maintains all changes, configuration settings and protocol for documents under control (i.e. in case of audits to have a change history/approval). Audit for conformance, accurately document deviations and close all associated Incidents. • Create reports and data visualizations to guide decision-making across the Vitesco Technologies Laboratories organization, at local, regional and global levels • Ability to work in a fast-paced environment and provide accurate and relevant data analysis, sometimes under unclear and ambiguous guidelines Software and Tool Development • Develops and maintains department lab administration tools and databases (VTL Web Portal) – Ensures that all tools are maintained and up to date. Re-engineer/develop the databases and GUI’s to match the department needs. • Interacting with global lab members to establish project requirements and expected outcomes, with consideration of future impacts. • Act as a consultant by gaining a deep understanding of internal customer needs and playing an integral part in defining and proposing practical solutions to meet and exceed customer expectations. • Experience with Visual Studio and ASP.NET Webforms development framework • Experience writing and optimizing SQL queries • Integrating third-party solutions through Web Services or other frameworks • Realize continuous improvement changes and modifications to the existing tool set Additional Responsibilities: • Strategic planning - Contributes strategy, operational goal setting, and budgeting to reach business objectives and expectations • Customer interface – Presentation of testing topics to internal and external customers • Adaptability – managing change orders in an expedient and accurate manner • Issues management/mitigation – apply situational solutions to each problem or concern Auto req ID 160147BR Job Category Engineering Job Requirements Required Qualifications: Data Analytics & KPI Reporting • Demonstrates knowledge of data, tools and administration • Prior experience with data collection, analysis and processing • Develop applications or tools used to provide summaries, KPIs or improve efficiencies. For example: developed MS Excel or MS Access tools/macros to improve data analysis. • Strong SQL skills (Common Table Expressions, case statements, subqueries, joins, unions) • Familiarity with BI tools such as MS Power BI, preferable • Strong Excel skills (Vlookup, Index Match, nested formulas, conditional logic, pivot tables, VBA, etc.) Software and Tool Development • Programming Languages: C#, ASP.NET, HTML, CSS, Javascript, MS SQL Server (T-SQL) • Optional Programming Languages: Python, jQuery • Database development & administration including building tables, indexing, stored procedures and functions • Strong back-end and front-end web development skills • Object-oriented programming knowledge with a language such as C# or Java • Preferred Skills: Process automation with tools such as Python and Microsoft Power Automate Preferred Qualifications: • Bachelors of Science degree with a focus on data analytics, actuarial science, finance, economics, software engineering, or other related technical field Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Continental is not able to pay relocation expenses for this opportunity. Country United States Job Type Professional EEO Statement EEO / AA / Disabled / Protected Veteran Employer. Continental offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, as a federal contractor, Continental complies with government regulations, including affirmative action responsibilities, where they apply. To be considered, you must apply for a specific position for which Continental has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, Continental provides reasonable accommodations to qualified individuals with a disability. If you need assistance in the application process, please reply to Careers@conti-na.com or contact US Recruiting at 248.209.7425. This telephone line and email address are reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process. Please do not call about the status of your job application, if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a call back. About Continental Vitesco Technologies is a leading international developer and manufacturer of state-of-the-art powertrain technologies for sustainable mobility. With smart system solutions and components for electric, hybrid and internal combustion vehicles, Vitesco Technologies makes mobility clean, efficient and affordable. The product range includes electric drives, electronic control units, sensors and actuators, and exhaust-gas aftertreatment solutions. In 2019, Vitesco Technologies, a Continental business area, recorded sales of EUR 7.8 billion and employs almost 40,000 people at around 50 locations worldwide. Vitesco Technologies is headquartered in Regensburg, Germany. Division Footer Text Ready to drive with Continental? Take the first step and fill in the online application. Posting Location Auburn Hills, MI | 27 | 2.9% | |
| Job Description Job Summary Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and with customers to define requirements and understand business problems. Uses advanced mathematical, statistical, querying, and reporting methods to develop solutions. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production, and communicates results to a broad range of audiences. Effectively uses current and emerging technologies. Knowledge/Skills/Abilities • Extracts and compiles various sources of information and large data sets from various systems to identify and analyze outliers. • Sets up process for monitoring, tracking, and trending department data. • Prepares any state mandated reports and analysis. • Works with internal, external and enterprise clients as needed to research, develop, and document new standard reports or processes. • Implements and uses the analytics software and systems to support the departments goals. Job Qualifications Required Education Associate's Degree or equivalent combination of education and experience Required Experience 1-3 years Preferred Education Bachelor's Degree or equivalent combination of education and experience Preferred Experience 3-5 years To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. | 27 | 2.9% | |
| The Celestar Corporation has an IMMEDIATE NEED to identify a Data Analyst. Please review the position description below. If interested and qualified we welcome you to apply for this challenging opportunity. LOCATION: Doral, Florida CLEARANCE/ACCESS: Active Top Secret Level Clearance with SCI Access; Clearance, Access and Invesitgation must appear in JPAS and be within scope (5 - Years) OVERVIEW: Perform a variety of engineering tasks, either independently or under supervision, which are broad in nature and are concerned with execution of JFS, JT, T&E or QRT activities. RESPONSIBILITIES: Provide support to the Joint Test and Evaluation program, USSOUTHCOM and JIATF-South for ISR employment planning and CONOPS validation, by developing operational doctrine that supports integrated ISR with multiple assets. Provide advanced data metrics development, data collection planning, post-event analysis and evaluation for project test events. Observe and analyze test and evaluation operations to ensure data collected addresses Measure of Performance/Effectiveness and to ensure conformity with military doctrines, policies, and procedures. Responsible for conducting in-depth functional area research and providing ORSA expertise in TTX and Field Test events. QUALIFICATIONS: Experience with data collection and analysis planning, test issue resolution, post-test data analysis, and report preparation and production Ability to analyze operational test activities and utilize advanced knowledge of mathematics, statistical and engineering methods in determining solutions to complex problems Experience developing data collection and analysis methodologies to ensure that all test data collected is of sufficient quantity, quality, and relevance to meet test objectives Knowledge of joint ISR planning and operations doctrine Experience in joint or operational Test and Evaluation (T&E) preferred Experience with ISR Platform capabilities and planning for long-duration operations preferred REQUIRED EDUCATION AND EXPERIENCE: Level I: Bachelor's Degree with at least 10 years of relevant experience or Master's Degree with at least 4 years of experience Level II: Bachelor's Degree with at least 14 years of relevant experience or Master's Degree with at least 9 years of experience Level III: Bachelor's Degree with over 20 years of relevant experience, Master's Degree with at least 12 years of relevant experience, or Ph.D. with at least 6 years of relevant experience IMPORTANT NOTE: This is a Best Athlete Selection Process! Please ensure that the required and/or desired experience is reflected on your resume to receive fair and competitive consideration. Come onboard with a company that Values its Employees! Celestar, a Veteran Owned Company, is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance and Employee Health Insurance. We also offer a 401(k) retirement company match, paid Holidays and Paid Time Off! Minimum physical demands for on task positions: Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential. Team Members on Task (CONUS only, minimal or no job-related travel): • Work Environment: The noise level in the work environment is usually moderate. • Office Type Environment with Temperature Control. May be exposed to chemicals related to office equipment. The noise level in the work environment is usually moderate. General office environment. Team Members on task (CONUS and OCONUS assignments, some travel): • Specific vision abilities required by the job may include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. • Team Members deployed to a combat zone must be physically able to live in austere conditions during off duty time that may include extremes in temperature, noise, and must not have any medical conditions that require access to uninterrupted power sources. • Team Members deployed to a combat zone will be subject to hazardous conditions which may require them to wear a kevlar helmet, individual body armor and/or wear a gas mask for extended periods of time. PAY TRANSPARENCY POLICY STATEMENT The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. Celestar is an Equal Employment Opportunity Affirmative Action Employer that is committed to providing equal opportunity for all applicants or employees on the basis of their race, color, sex, sexual orientation, gender identity, national origin, age, religion, veteran status, disability, or any other characteristic protected by law. If you should have difficulty accessing our online application, please call us during normal working hours for immediate assistance @ (813)-627-9069 __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ Minimum physical demands for on task positions: Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential. Team Members on Task (CONUS only, minimal or no job-related travel): • Work Environment: The noise level in the work environment is usually moderate. • Office Type Environment with Temperature Control. May be exposed to chemicals related to office equipment. The noise level in the work environment is usually moderate. General office environment. Team Members on task (CONUS and OCONUS assignments, some travel): • Specific vision abilities required by the job may include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. • Team Members deployed to a combat zone must be physically able to live in austere conditions during off duty time that may include extremes in temperature, noise, and must not have any medical conditions that require access to uninterrupted power sources. • Team Members deployed to a combat zone will be subject to hazardous conditions which may require them to wear a kevlar helmet, individual body armor and/or wear a gas mask for extended periods of time. PAY TRANSPARENCY POLICY STATEMENT The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. Celestar is an Equal Employment Opportunity Affirmative Action Employer that is committed to providing equal opportunity for all applicants or employees on the basis of their race, color, sex, sexual orientation, gender identity, national origin, age, religion, veteran status, disability, or any other characteristic protected by law. If you should have difficulty accessing our online application, please call us during normal working hours for immediate assistance @ (813)-627-9069 | 27 | 2.9% | |
| More than any other, insurance is an industry whose foundation is based on trust – to provide peace of mind. So it is essential that, above all, Berkley Select is a company defined by the attributes that engender trust and confidence among our brokers and agents, and their clients. Berkley Select is the result of bringing together two of the industry’s most respected names in professional liability insurance. We are a leading provider of professional liability insurance products across a full spectrum of disciplines and industries, for clients of virtually every size and level of complexity. As a Berkley company, we enjoy operational flexibility that allows us to deliver quality coverage solutions. Berkley Select clients have access to a creative team of dedicated underwriters and the resources of W. R. Berkley Corporation. All member insurance companies are rated A+ (Superior) by A.M. Best Company, and carry Standard & Poor’s Financial Rating of A+ (Strong). We are looking for an experienced Data Analyst to join our Business Intelligence team. The ideal candidate has exceptional analytical skills and is adept at solving complex problems and creating elegant business solutions. The Data Analyst assesses basic information needs, designs studies, analyzes results and delivers key findings in support of business leaders. The Data Analyst, with considerable latitude for independent action and judgment, will analyze, design, build, publish, program, maintain, test, troubleshoot, and implement and maintain legacy reports and PowerBI dashboards. Work on multiple projects independently and larger team based projects. Position requires excellent SQL programming skills and experience with the Microsoft BI Stack (SQL Server 2017, SSRS, SSAS), Visual Studio, and PowerBI. Code and design SSRS reports, end user dashboards and retrieve Ad hoc data sets from the business intelligence environment. Collaborate in collecting to define functional requirements, document and contribute to technical design discussions Provide estimates and plans for report initiatives as requests are obtained from different departments and company stakeholders Ability to handle multiple tasks and support special projects needs simultaneously. Use optimized SQL server queries to efficiently and quickly retrieve data. Work with the Data Delivery Team Lead on different methods of SSRS query design and to find solutions that meet the requestors needs. Create and design reports as best-practice solutions that support business reporting tasks. This will be achieved in using different programs and software, such as SSRS, SSAS, Microsoft Excel, MS SQL Server, SharePoint and other tools. Ability to work in a fast paced team environment and self-manage, work well under pressure meeting tight deadlines and possess excellent interpersonal skills to work well with employees at all levels. Resolve and Troubleshoot Report and data issues reported by end-users or support desk. Maintain a record of different reporting processes in place and help to improve Report team goals with regard to report and data management. Bachelor's degree in Computer Science, or at least 4 years of work-related experience 1-2 years of business intelligence experience building reports and/or dashboards Insurance Industry Experience Highly Preferred Required Experience: Experience with Microsoft SQL Server 2017 tools and technologies (SSRS, SSAS) Experience using data visualization tools (PowerBI or Tableau) Strong analytical skills, able to translate complex business requirements into sound solutions Demonstrates depth of knowledge in data modeling, data transformation & designing analytical data structures including tabular and multi-dimensional Ability to work in a fast-paced, collaborative team environment Excellent written and verbal communication skills and ability to express ideas clearly and concisely in good grammatical form, as well as effectiveness of expression in individual and group situations An understanding of analysis and research with a basic understanding or dataset, programming, querying, report design and dashboard design required. Experience with Power BI and/or Tableau Experience developing multi-dimensional data models Strong SQL skills with experience creating complex queries, building stored procedures, or creating views to support the data analysis requirements. | 27 | 2.9% | |
| The Department of Pathology and Laboratory Medicine is seeking to hire a Data Analyst to join their Technology Center for Genomics & Bioinformatics. The Data Analyst will serve as the primary bioinformatician for the Center and be responsible for next generation sequencing (Ion Torrent and HiSeq2000) and microarray data management. Duties include: •NGS data analysis (RNAseq, WES, WGS, Chipseq, Methseq, single cell RNAseq) •NGS data management (data delivery, data transfer, data storage) •Customer support •Other laboratory pre-analytical and post-analytical activities Note: Due to the pandemic, this position is 100% remote until further notice Job Title: Data Analyst UC Job Title: SRA III Job Number: req9136 Work Hours: Monday - Friday, 8am - 5pm Job Type: career Duration: Indefinite Work Location:Los Angeles Salary Range: 58,454.43 - 94,002.50 Job Duties: The Department of Pathology and Laboratory Medicine is seeking to hire a Data Analyst to join their Technology Center for Genomics & Bioinformatics. The Data Analyst will serve as the primary bioinformatician for the Center and be responsible for next generation sequencing (Ion Torrent and HiSeq2000) and microarray data management. Duties include: •NGS data analysis (RNAseq, WES, WGS, Chipseq, Methseq, single cell RNAseq) •NGS data management (data delivery, data transfer, data storage) •Customer support •Other laboratory pre-analytical and post-analytical activities Note: Due to the pandemic, this position is 100% remote until further notice Job Qualifications: •At least one year experience working with NGS data analysis •Demonstrated understanding of the statistical principles behind current best practices in bioinformatics •Broad experience with data generated by high-throughput molecular assays including microarrays and next-generation sequencing, preferred •Experience in molecular biology combined with a very strong record of high-throughput data analysis, supported by publication in this area, preferred •Experience in bioinformatics, biostatistics, computational biology or similar molecular biology, genetics, or biotechnology, preferred •Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis •Strong communication, data presentation and visualization skills. In particular, a demonstrated ability to effectively interact with scientific and thought leaders who specialize in areas other than bioinformatics, biostatistics, etc. •Ability to work both independently, collaboratively, and interdependently to handle numerous concurrent, fast-paced projects Bargaining Unit: RX Layoff Referral Deadline: Posted Date: 9/28/2020 Posting Category: Research | 26 | 2.8% | |
| Basic Job Information Joborder Id : 987656363 Title : Data Analyst with Pyspark Location : Bentonville, AR Position Type : Contract No of Opening : 1 Job Description | 26 | 2.8% | |
| Required: Knowledge of referential and large data formats and file structures Knowledge of databases, including big data technologies Knowledge of programming and SDLC Knowledge of Metadata tagging, data classification, and defining business and technical metadata Ability to convey complex concepts to business stakeholders in terms relevant to the business Excellent written and verbal communications skills Excellent data analysis skills Organized, structured, methodical Analytical with strong problem-solving ability Strong prioritization and time management skills Experience with these is a must: Strong Python and Spark Hadoop and/or Big data solutions Oracle, PL/SQL, Teradata Should have Data lineage experience Exposure to AWS and/or Cloud environments Should have been a developer in past Good understanding on Code Repositories like GIT | 26 | 2.8% | |
| JM&A Group is one of the largest independent providers of finance and insurance (F&I) products in the automotive industry. For nearly 40 years, the company has helped automobile dealers achieve unsurpassed levels of performance. JM&A Group provides more than 3,800 dealerships with a variety of products and services, such as new and used vehicle protection plans, pre-paid maintenance plans and GAP protection programs. Among JM&A Group’s competitive advantages is its robust training and consulting services for F&I professionals, and the company is actively evolving to meet consumer preferences to remain a market leader and a partner of choice. JM&A, a division of JM Family Enterprises, Inc., is looking for an experienced Data Science Support Analyst to join its Customer Services Admin team. The Support Analyst will partner with the Data Scientists to: support production deployment of models and web applications related to technologies developed by the Data Science team; participates in new development of web applications and restful api’s; gain exposure to production machine learning model pipelines and the design and creation of new models using statistical techniques. Responsibilities: Continually check metrics and validate models, compute model performance metrics. Access, analyze, cleanse, pre-process data. Retrieve data from multiple stores CSV/Teradata/Oracle/API/. Train new models per specifications from Data Scientist. Deploy new models and determine when to replace existing. Configure Linux server web sites and update code base as needed. Monitor web application performance and fix issues accordingly. Configure SQLite/SQL/Mongo databases and stored queries, updating as needed. Participate in meetings and offer ideas and solutions to present problems. #LI-JD1 Python (numpy/pandas/matplotlib/sklearn/flask) Version control (git) SQL and database APIs (cx_oracle, pymysql, sqlalchemy) Cloud deployment experience (AWS, containerization) and familiarity with AWS services Experience working in an Agile/Scrum environment Machine Learning algorithm development experience. Ability to learn new technologies rapidly and turn around implementations. Excellent communication skills (both written and verbal) with ability to effectively communicate to all levels with varying degrees of technical knowledge Critical thinking Independent problem resolution Ability to work in a team and collaborate with others Bachelor's Degree (Data Science, Analytics, Business, Finance, Computer Science, Engineering or related field) 2-4 years experience (candidates with a relevant Masters degree and less experience will also be considered). | 26 | 2.8% | |
| About Trexin Consulting Founded on the principles of trust, experience, and innovation, Trexin Consulting specializes in strategy execution – the effective implementation of business strategy to achieve a specific business goal. Also referred to as applied strategy, strategy execution situations that Trexin frequently leads include: scaling capabilities for growth, optimizing operations for cost reduction, driving synergies for M&A and recovering projects in distress. Trexin’s services are right-sized for our Clients’ needs, ranging from our “Diamond Team” service when our Clients want Trexin to own an outcome and share delivery risk, to Expert / Advisory services for senior-level guidance, to Strategic Staffing services for execution-oriented tasks and roles. Our expertise spans Healthcare, Life Sciences, Financial Services, and Products & Distribution, overlaid by multidisciplinary skills in the five capabilities essential to executing strategy: Aligned Enterprise, Program Execution, Technology, Innovation and Analytics. Job Title Data Analyst Trexin Consulting is currently seeking a Solutions Architect to join our team and consult at our Healthcare client. Key Areas of Responsibility: Function in an Agile environment meeting regularly with our client, coordinating efforts and backlog grooming. Work with both technical and business stakeholders to understand the data needs for projects. Attend requirement sessions when necessary, communicating any concerns to project leadership. Translate complex technical terminology, concepts, and issues in terms understandable to technical and nontechnical management and resources staff. Develop and maintains conceptual, logical, and physical architecture. Provide extensive technical, strategic advice and guidance to senior managers and technical resources in the creation and implementation of new data standards and databases or changes to existing ones. Collaborate with the Enterprise Architect and client IT team to establish and implement strategic initiatives. Make recommendations and assesses proposals for system optimization. Identify operational issues recommend and implement strategies to resolve problems. Key Desired Skills, Experience and Knowledge: Bachelor’s degree in discipline related to functional work or 7 plus years of relevant work experience. Experience in participating in analysis sessions with the user community to capture requirements clearly, completely, and correctly. Experience in identifying, analyzing, and translating business requirements into conceptual, logical, and physical architectural models in complex, multi-application environments. Experience implementing operational and dimensional logical and physical design for Claims Processing System solutions. Experience in creating, reviewing, and presenting Source Systems Analysis and Source to Target mapping across Staging, Integration and Presentation layers. Experience in delivering quality work on time with multiple, competing priorities. Excellent Troubleshooting and problem-solving skills must be able consistently identify critical elements, variables, and alternatives to develop solutions. Ability to create, refine and deploy an appropriate aggregate strategy. Ability to define, develop, and implement joint testing strategies with the business and IT QA. Strong communication and teamwork skills to interface with development team members, business analysts, and project management. Excellent communication and analytical skills. Multiple platform development experience. Healthcare Insurance claims processing system architecture experience required. HealthEdge/HealthRules implementation experience required. Trexin is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Trexin is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trexin are based on business needs, job requirements, and individual qualifications. Trexin strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy, childbirth, or related medical conditions), gender (including gender nonconformity and status as a transgender individual), sexual orientation, age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law. Trexin complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law. Consistent with those requirements, Trexin will reasonably accommodate qualified individuals with a disability if such accommodation would allow the individual to perform the essential functions of the job, unless doing so would create an undue hardship. Trexin will also, where appropriate, provide reasonable accommodations for an employee's religious beliefs or practices. Trexin strictly prohibits discrimination against protected veterans, and Trexin utilizes affirmative action to recruit, hire, promote, and retain veterans. Trexin Consulting does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Trexin Consulting vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Trexin Consulting Recruiting Team and such candidate was submitted to the Trexin Consulting Recruiting Team via our Applicant Tracking System. | 26 | 2.8% | |
| Job Summary The Business Analyst, as part of the Customer Success Organization (CSO) - Operations group, provides analytics services, project and program management, technology solutions, and process services to the entire Customer Success Organization. The Business Analyst is chartered with ensuring that CSO is equipped with innovative technology solutions that enable the CSO departments of Technical Support, Professional Services, Customer Success, and Technical Learning Services to deliver a world-class customer experience. Core Responsibilities Provide solutions and toolsets that enable CSO to deliver on its mission of providing a world-class customer experience and enhance business efficiency, drive workflow and quality improvements, optimize the cost model, and support strategic initiatives Be the primary interface between internal teams and stakeholders for the delivery of live product and application support Manage workflows and processes related to incident response and resolution, including coordinating of teams and support availability Work closely with our product delivery teams to ensure our products/applications are ready for an on-time and seamless initial launch and transition to live support Strategic analysis, identifying performance trends, scanning business/industry trends, reviewing sales/financial analyses and interpreting data Frequent and transparent communication and applies professional project methodologies and standards Develops reporting on key metrics. Distributes reports to business stakeholders on a regular basis. Proactively delivers the most real-time, actionable customer insights possible, leveraging all tools and resources available to provide actionable solutions, participates in problem resolution and monitors and tracks Provide data analytics throughout project recommendations to all leadership levels to support strategic decision-making Analyzes qualitative and quantitative data and identifies opportunities. Performs analysis of large data sets and provides recommendations for improvement related to the project with limited direction. Proactively determines areas for drill-down focus and conducts follow-up analyses to understand the drivers of performance gaps Facilitate problem-solving sessions with functional leaders across the organization Develop comprehensive project plans that merge customer requirements with company goals and coordinate both Stakeholder leadership and Individual contributors with all project phases, from initial development through implementation Reviews and documents current processes as part of gap or root cause analysis and input to improvement initiatives; identifies gaps that may be contributing to overall business and CX results. Reviews client documentation related to the initiative and conducts assessments Anticipate and influence details of future projects by communicating directly with Stakeholders and developing a deep understanding of their future business needs Person Specification The ideal for this role is passionate about using technology, data, and process to enable amazing customer and employee experiences. You demonstrate extreme levels of accountability and are results driven; you value teamwork and collaboration; you communicate transparently and with candour, while always being genuine; you act boldly, take initiative and are comfortable taking calculated risks to achieve successful outcomes; you execute with speed and integrity, delivering high quality work product which you are proud of. Required Skills and Experience Bachelor’s degree is required, MBA or other relevant advanced degree preferred Minimum 3-5 years’ experience delivering technology programs and initiatives in an environment where work activities and deliverables are dependent on a diverse group of technical and business functional experts Strong analytical thinking as well as problem solving skills; proven ability to apply quantitative data analysis techniques to improve work processes Extensive experience with Salesforce service console and other cloud-based applications Effective written and oral communication skills, strong interpersonal communication, and ability to work well in teams using verbal, non-verbal, written, and listening methods Ability to drive components of large, multi-functional projects Evaluate, document, and diagram business procedures and implement new solutions Self-starter, strong initiative & leadership Experience with cloud-based tools and applications Work comfortably with cross functional teams including individual contributors, technical leaders, and executives Extensive experience using MS Project, Sharepoint, Smartsheets, Confluence, JIRA, Excel, or similar business applications PMP or equivalent certification desired Six Sigma trained, green belt certification a plus We are mission driven. We are passionate about our mission because our solutions protect businesses, critical infrastructures, and governments around the world. Find out more about Forcepoint’s Mission, Vision, and Values at www.Forcepoint.com and follow us on Twitter at @ForcepointSec. Find us on social at #forcepoint #forcepointculture #lifeatforcepoint to find out what its really like to work here from the team themselves. *Other duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Forcepoint Is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. We are committed to hiring and retaining a diverse workforce, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. Certain positions with Forcepoint require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentcoordinators@forcepoint.com. We will make every effort to respond to your request for disability assistance as soon as possible. Applicants must have the right to work in the location to which you have applied. We are committed to hiring and retaining a diverse workforce, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. #LI-AK1 | 26 | 2.8% | |
| Provide Data Analysis and Management for Hemophilia and Sickle Cell grants.-Provide data management for Hemophilia grant by: entering weekly stats from nursing and social worker, entering patient data into Clinical Manager database, and other hemophilia databases or programs -Provide data management for sickle cell grant by: setting up and maintain database for sickle cell program and entering all nursing and community outreach workers stats on a weekly basis. Provide reports as needed. Enter data on quality improvement projects for Federal Sickle Cell Grant. -The Data Analyst will be responsible for supporting quality improvement efforts, IRB applications, and collecting and submitting data required for program evaluation by the regional collaborative and HRSA for the Federal Sickle Cell Grant. (S) He will attend an annual webinar through the duration of the grant. -The Data Analyst will be responsible for development and maintenance of data capture and data entry tools; data collection; data entry; and preparation of reports, as required-Review database and verifies information in order to ensure accuracy and consistency of reports -Compiles and analyzes information from standardized reports on a monthly/quarterly basis as necessary. -Reports to program manager of sickle cell/hemophilia programs and principal investigator. Prepares reports and analyzes data with PI and program manager. -Provide data management for clinical trials and research projects by entering data and submitting to company/coordinating center as per the protocol. Review database and verifies information in order to ensure accuracy and consistency of reports. Responsible for ensuring integrity of information reported for all sickle cell and hemophilia grant reports Experience in Excel, Access and Microsoft Office required. Experience with database set up management required. Experience with analysis of data required. Experience in a health care setting preferred. Experience abstracting data from Electronic Medical Records. Attention to detail and ability to track and organize multiple projects.RWJBarnabas Health is an | 3 | 0.3% | |
| The Systems Data Analyst is responsible for performing extensive detailed data analysis necessary to ensure strict adherence to data quality guidelines. This role will conduct full lifecycle activities to include requirements analysis and design, develop analytics and reporting capabilities, and continuously monitor performance and quality control plans to identify improvements and alerting of potential issues. The Systems Data Analyst is essential to gaining a better insight into a client’s business problem to be solved, formulating a data-driven approach to solve the problem and finally, analyzing and drawing conclusions and presenting them to the client. The Data Analyst position is a client facing role, and is responsible for being able to communicate complex analytic findings and conclusions in an easy to understand way. We offer a comprehensive benefits package which includes medical, dental, vision insurance as well as a wide-ranging list of supplemental benefits and discount programs. In addition to sixteen paid days off for employees, we also offer ten paid holidays. Required Qualifications • 2+ years’ experience with Data Analysis. • 2+ years working with SQL daily. Preferred Qualifications • Prior experience or knowledge of pharmaceuticals or the health care industry. • Develop analytical strategies to solve business problems – this involves understanding the business problem, identifying relevant data, gathering and summarizing data meaningfully and applying appropriate statistical analysis to identify causal relationships and predict future outcomes. Deliverables must be high-quality with strong attention to detail. • Transform complex data into easy to follow reporting through graphing, charts and dashboards, utilizing tools such as SSRS, Powerpoint or Excel. May also be required to present findings and reporting to clients and internal executive management. • Create repeatable jobs and procedures utilizing MS SQL Server platform to gather and analyze data, to evaluate effectiveness of controls, determine accuracy of reports and efficiency of operations. • Work with Wellpartner’s customers and vendors, to analyze and provide solutions for their data issues. • Collaborating with and influencing clients and customers to develop analytic models, methodologies and reports that support Wellpartner products and services. • Prioritizing competing client requests to ensure focus on highest impact activities. • Experience working with various data feeds and understanding of EDI. • Experience extracting, manipulating, and analyzing data and then using it to draw relevant conclusions. • Bachelor’s Degree preferred. Education High School Diploma or GED required Business Overview At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. | 3 | 0.3% | |
| Valid USA is a secure, make-it-happen partner. We are a global company with a market capitalization of more than $1 billion and 6,000 associates worldwide. Our job is to ensure every solution is seamless and secure - whether it’s for big data, payment cards, government issued identification, mobile financial services or highly targeted direct marketing campaign management. Our website is www.valid.com. Valid is hiring a Data Analyst at our Downers Grove location. This individual will maintain and update data conversion scripts and layouts, and create new scripts for clients. The Data Conversion Analyst will deliver products according to a pre-defined schedule in a self-managed environment. Interfaces with IT, Manufacturing Engineering, Product Engineering, Service and Support and Sales What will you do? Use basic programming and logic skills to create, update, and maintain data layouts and conversion scripts for various clients (Python and FoxPro are the main programming languages used). Receive data files from clients and then convert the data into scripts we can use with our production machinery. Perform accurate and timely completion of reports and tasks related to data conversion. Demonstrate knowledge about data’s role in the card personalization process. Understand how we get the data, how it is converted, and how it is used after conversion. Meet the requirements and deadlines established for a given project. Follow internal processes and procedures. Investigate and resolve reported defects. Work closely with other team members to coordinate assignments and communicate status. Actively participate in departmental and project design meetings. Effectively communicate project status with direct supervisor and functional project owner. Meet the desired due date for all assigned projects Work to understand clients' needs and analyze user requirements. Perform related responsibilities and duties as required. What are we looking for? Associate's degree in Information Technology or related field and a minimum of 3 years experience in a similar position. Demonstrated programming experience in Python and/or FoxPro. Experience in the plastic card manufacturing and packaging industry is a big plus. A team player with strong problem solving and organizational skills. Excellent verbal, written and interpersonal communication skills; the ability to effectively communicate with all levels of employees and a service orientation. Intermediate to advanced skills in Microsoft Word and Excel. What we offer: Benefits are effective on the 1st of the month following 30 days of employment and include a choice of 4 medical plan options under the Blue Cross Blue Shield, Dental, Vision, Disability and Life Insurance, 401(K), 2 weeks of vacation and 6 additional days of paid time off and paid holidays | 3 | 0.3% | |
| Company Overview Donegal Insurance Group is a regional property-casualty insurance company doing business in 26 states, headquartered in Marietta, PA, with 7 regional offices located in Athens, GA, Le Mars, IA, Grand Rapids, MI, Albuquerque, NM, Greenville, OH, Glen Allen, VA, and Sheboygan Falls, WI. Donegal offers a broad range of personal and commercial insurance products sold exclusively through our network of independent agents. We are committed to the independent agency system and proud of the company's heritage, which spans over 130 years. Donegal's strong financial foundation and successful operating strategies have earned the company a rating of 'A' (Excellent) by the A.M. Best Company, the nation's leading insurance rating organization. Job Summary Donegal Insurance Group has an opening for a Data Analyst to work in the Business Intelligence area. Primary responsibility will be to provide data for business intelligence solutions for all functional areas based on business need. This role will work closely with IT to acquire data, identify analytical requirements and perform business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. This role will help in determining best practices and develop actionable insights and recommendations for the current business operations. This role will help ensure business intelligence applications and analyses enhance business decision-making capabilities. Responsibilities and Duties Based on business requirements, provide data from multiple sources for use in building analytical solutions which enhance decision-making and/or refine operations. Aid in the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation to complex data mining. Coordinate the use of data to develop, modify, and enhance reports and dashboards based on user requirements. Create, enhance, and maintain data models/sets. Identify business trends and problems through data analysis. Collaborate with business users and members of IT, including business analysts, database architects, and managers. Gather and document user requirements. Perform usability testing and report data validation against end user requirements. Gain familiarity with data structure in the Donegal data warehouse and various data marts. Exhibit a commitment to data quality by validating results against requirements. Ensure duties are performed in adherence to all Federal, State, and Local laws and regulations. Comply with guidelines, policies, and directives outlined in the company handbook and department manuals. Provide timely, courteous, and quality customer service to customers. Clearly demonstrate commitment and participation to team goals and objectives. Reliable attendance and punctuality. Qualifications and Skills Bachelors Degree in Business Intelligence, Computer Sciences, Information Technology, Data Science, Data & Analytics, Mathematics, Statistics, Actuarial Science or related field required. 1-2 years of related experience preferred. Experience working with property/casualty insurance preferred PC skills to include: Microsoft Office applications Power BI, SSRS and Excel SQL Oracle Relational and dimensional modeling concepts DAX and M expression languages Open-Source Software (e.g. R / Python) Benefits Donegal Insurance Group offers a comprehensive benefits package for all full-time, permanent positions. Learn more about our benefit offerings by visiting our Benefits page. Additional Information Donegal Insurance Group participates in E-Verify in the following states: Alabama, Arizona, Georgia, Louisiana, Mississippi, Nebraska, North Carolina, South Carolina, Tennessee, and Utah. If you reside in one of the listed states, please review the "Notice of E-Verify Participation" and the "Right to Work Poster" on the links below: Notice of E-Verify Participation Poster (English and Spanish) Right to Work Poster (English and Spanish) Powered by JazzHR | 3 | 0.3% | |
| Job Description Job ID#: 2359 Job Category: Behavioral Health (Promesa) Position Type: Full Time Details: Acacia Network, the leading Latino integrated care nonprofit in the nation, offers the community, from children to seniors, a pathway to behavioral and primary healthcare, housing, and empowerment. We are visionary leaders transforming the triple aim of high quality, great experience at a lower cost. Acacia champions a collaborative environment to deliver vital health, housing and community building services, work we have been doing since 1969. By hiring talented individuals like you, we’ve been able to expand quickly, with offices in Albany, Buffalo, Syracuse, Orlando, Tennessee, Maryland and Puerto Rico. The Data Analyst is responsible for entering information into the Nextgen EHR, importing data results for analysis, analyzing data trends, completing QA/QI to improve program performance and outcomes based on trends and will be a member of the integrated treatment team. Under supervision of the Program Director, the requirements listed below represent the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities as defined by the ADA to perform the essential functions of the job. The functions below outline the general responsibilities associated with this position. Each of these functions is considered critical to effective department operations and our Mission. It is expected that all staff in this position will have satisfactory attendance and will perform these functions as assigned in a competent, cooperative, and timely manner. The Job Description will be reviewed periodically for accuracy and/or adjusted according to business necessity. KEY ESSENTIAL FUNCTIONS: Will enter all required data into Nextgen and run queries in SQL at the back end Will run daily, weekly, monthly, and quarterly reports as per program needs and performance indicators. Generates quality indicator reports from Nextgen database as requested and assigned by supervisor. Maintains Data spreadsheet up-to-date by keeping all required data indicators as per program regulations by mapping from front end to back end and validating it. Coordinates and maintains record of consumer participation in the program by conducting surveys, activities and integrating consumers to participate in activities as per program regulations. Generates and inputs discharge and re-entry information for consumers on the Nextgen database as per program requirements and assigned by supervisor. Participates in integrated team meetings, collects data information as per program requirements and maintain accuracy in data spreadsheet. Complete quality improvement projects based on data trends. Act as curator of new datasets, documenting and performing quality checks. Completes all required training as per program regulations for entering consumer data and as assigned by supervisor. Completes office duties as needed/required by Supervisor. Completes additional tasks as assigned by Supervisor. REQUIREMENTS: College degree preferred Knowledge of the Nextgen database and proficiency in SQL Experience or desire to work with people who have a mental illness Positive attitude and professional demeanor A self starter Ability to complete work independently as well as in collaboration with team members Must be team oriented with a willingness to be flexible and helpful. Excellent computer skills including, Microsoft Windows, Excel, PowerPoint, and electronic communications tools: internet and email Ability to communicate effectively orally and in writing Highly organized, motivated self-starter Excellent time management skills. Acacia Network is an equal opportunity employer* Job Requirements Already have an account? Log in here | 3 | 0.3% | |
| The Bureau of Public Health Statistics has an immediate need for an experienced, knowledgeable epidemiologist or data analyst to take the lead in data submissions and analysis for two major projects. The first is the Health Professionals Registry, for which data submission, and the design and construction of an integrated database will begin in December and January. Second, the candidate will pursue a detailed medical marijuana data analysis using Behavioral Risk Factor Surveillance Survey (BRFSS) 2019 data. Working knowledge of SAS and complex data systems is critical. | 3 | 0.3% | |
| Chipton-Ross is seeking a Data Analyst for an opening in Rochester, NY. SUMMARY: Under the direction of the Supervisor Data Analytics & the SAP Master Data Specialist will be responsible for supporting the Engineering master data and the touch points within SAP. The Data Analyst I will follow all work instructions of the Business Process Support Team (BPS). The Qualified Candidate will be responsible for supporting the requirements related to Engineering master data changes and the touch points within SAP for a specific project. RESPONSIBILITIES: Evaluate and make required changes in SAP for existing materials, product BOM’s, and routings per the direction of the Engineering Team. Create work centers, changing and creating BOM’s, Routings. Change Material Masters (Production Versions. Responsible for the ECM’s to document their work. Document and maintain ECM(Create, Obtain approvals, and submit to the Business Process Support Team). REQUIREMENTS: Proficient in SAP Master data as it relates to BOM’s and routings. Advance experience with Excel. Possess high levels of data accuracy and attention to detail. Strong analytical skills, combined with practical business knowledge. Strong verbal and written communication skills. EDUCATION: Accredited High School Diploma/GED WORK HOURS: Full-Time 1st Shift Employment will be contingent on clearing a drug screen and background check. Both must clear prior to start date. Contact Billy James bjames@chiptonross.com CHIPTON-ROSS, INC. 420 Culver Boulevard Playa Del Rey, CA 90293 Phone: (310) 414-7800 x340 or (800) 927-9318 x340 | 3 | 0.3% | |
| Computer World Services is seeking energetic candidates to support the National Oceanica and Atmospheric Administration (NOAA) Office of the Chief Information Officer (OCIO), Cyber Security Division (CSD) in achieving NOAA’s cybersecurity mission: to protect and defend the use of cyberspace from cyber-attacks, and to protect NOAA information and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. Qualified candidate: Solves computer, business, scientific, engineering, policy/compliance or other discipline system/process problems and enables system to meet the needs of the organization. Performs system studies to assist organization to realize maximum benefit from investments in equipment, personnel, and business processes or to comply with internal or external requirements. Plans and designs new systems/processes or devises ways to apply existing systems resources to additional operations. Analyzes requirements, procedures, and problems to improve existing system/processes. Familiar with a variety of the field's concepts, practices, and procedures. Relies on experience and judgment to plan and accomplish goals. Performs a variety of complicated tasks. A wide degree of creativity and latitude is expected. Works under general supervision. Typically reports to a manager or head of a unit/department. Key Tasks and Responsibilities Provide technical expertise evaluating and interpreting data, analyzing results using statistical techniques Interpret various types of data, analyze results using statistical techniques and provide ongoing reports Identify, analyze, and interpret trends or patterns in complex data sets Filter and normalize data by reviewing data reports and performance indicators to locate where data source contains errors or issues Work with IT, Cyber, other personnel to prioritize business and information needs Locate and define new process improvement opportunities JOB REQUIREMENTS Education & Experience BS/BA degree (or equivalent) plus 4 to 6 years’ experience in related field. Knowledge and comprehensive understanding of U.S. federal IT security policies and implementation standards as documented in the National Institute of Standards and Technology (NIST) guidance to include, but not limited to, NIST Special Publications (SP) and Federal Information Processing Standards (FIPS) available online at csrc.nist.gov/. Proficiency with enterprise architecture methodologies, concepts, procedures, principles, and tools, and experience in designing security elements of Service-Oriented Architectures. Proficiency in applying federally accepted IT Security concepts, methodologies, principles, procedures and using industry-standard IT Security tools. Working knowledge of Security Products, ranging from SIEM, Security Appliances, Network Devices, and Endpoint Protection. Working knowledge of hardware/software security implementations; communication protocols; and encryption techniques/tools. Ability to research, recommend, and apply policies and emerging vulnerabilities to both short notice response and long-term vulnerability management program assignments. Ability to develop, deliver, and deploy technical solutions designed to protect NOAA data, networks, intellectual property, and national missions. Familiarity with the NOAA mission and major programs as described online at www.noaa.gov/. Certifications One or more of the following is required: CompTIA Security + CompTIA Advanced Security Practitioner (CASP +) CompTIA Cybersecurty Analyst (CySA +) ISC2 Certified Authorization Professional (CAP) ISC2 System Security Certified Practitioner (SSCP) GIAC Security Essentials Certification (GSEC) GIAC Systems and Network Auditor (GSNA) EC-Council Certified Ethical Hacker (CEH) EC-Council Certified Network Defender (CND) CSA Certificate of Cloud Security Knowledge (CCSK) Cisco Certified Network Associate (CCNA) Cisco Certified CyberOps Associate Axelos ITIL Foundation Security Clearance US Government Public Trust clearance is required Other (Travel, Work Environment, DoD 8570 Requirements, Administrative Notes, etc.) EOE AA M/F/Vet/Disability | 3 | 0.3% | |
| JOB POSTING APPOINTMENT TYPE: Full-Time Regular (FTR-A) LOCATION: Quantico, VA PURPOSE: The Data Analyst conducts full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance documentation, and metrics to identify improvements. ESSENTIAL JOB FUNCTIONS: Interpret data and analyze results using statistical techniques. Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintaining databases. Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze, and interpret trends or patterns in complex data sets. Interpret data, analyze results using statistical techniques, and provide ongoing reports. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business and information needs. Locate and define new process improvement opportunities. Support additional activities, functions, or duties, as required. JOB REQUIREMENTS: Bachelor’s degree in Business, Economics, Computer Science, Information Management, Statistics, or in another field with demonstrable coursework in these areas. Proven working experience as a data analyst or business data analyst. Strong knowledge of and experience with reporting packages (e.g. Business Objects), databases (e.g. SQL), programming (e.g. XML, JavaScript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g. Excel, SPSS, SAS) Possess strong written and verbal communication skills Proficient in MS Word, PowerPoint, Excel, and Adobe Acrobat Attention to detail and strong organizational skills The ability to prioritize job responsibilities in a fast-paced environment while maintaining a focus on excellent customer service is a must. Candidates must be US citizens and able to pass a background check, drug screening, and a polygraph (if required). * This is a contingent opportunity | 3 | 0.3% | |
| Main Activities and Responsibilities Support on customer satisfaction programmes Support sample and survey data collection across Elsevier's feedback programs, including the global NPS (Net Promoter Score) program. Monitor automated data-feeds for surveys and other operational data. Help to automate the sample collection process (using tools such as SQL, KNIME and/or Python) Programme questionnaires in ConfirmIT [ConfirmIT knowledge advantageous, training will be provided if there is no prior knowledge) Oversee incentive fulfillment for survey participants. Manage GDPR requests and customer responses to survey invitations. Support on customer market research projects Provide analytical support on large scale international annual studies benchmarking the performance of key Elsevier products as and when requried Support on customer market research projects Ensure rigourProvide support on global reporting and existing dashboards which use ConfirmIT (our survey tool). Help maintain our web presence on Elsevier's intranet site. Ensure rigour Ensure that there is high standard of rigour on projects. Responsible for quality checks. Examine data closely for the identification of outliers, anomaly identification, etc, and take remedial action as appropriate. Clean data files thoroughly and accurately in Excel Maintain detailed documentation providing step by step guide of processs, including data sources and data definitions. Collaborate effectively with team members to define project requirements, timelines, and outcomes. Provide accurate status reporting to supervisors and management Functionaal and Technical Competencies Organised with great project management skills, able to balance several projects at once and work to tight deadlines. Has good knowledge of databases (e.g. SQL). Able to identify interesting patterns in data sets and drive insight from data. Basic knowledge of HTML, CSS, or JScript/ JavaScript (preferred) Experience or knowledge of data manipulation techniques (knowldge of tools such as Knime, SPSS advantageous) Knowledge of viusalisaion applications such as Tableau a plus. Knowledge of survey software (ConfirmIT particularly advantageous), willingness to learn key. Excellent knowledge of Microsoft applications especially Excel. Education, Knowledge and Experience Educated to degree level or equivalent, preferably in sciences Hard working, methodical with strong attention to detail. Highly numerical. Personable and a good communicator. Ability to think independently and solve problems A good command of written and oral English. Comfortable working with large data files Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or accommodations@relx.com. Please read our Candidate Privacy Policy | 3 | 0.3% | |
| Other values (416) | 498 | 53.5% |
Length
| Max length | 11186 |
|---|---|
| Median length | 3471 |
| Mean length | 3689.247312 |
| Min length | 64 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 455485 | 13.3% | ||
| e | 320154 | 9.3% | |
| a | 236191 | 6.9% | |
| i | 234820 | 6.8% | |
| t | 231720 | 6.8% | |
| n | 223602 | 6.5% | |
| o | 203525 | 5.9% | |
| s | 186578 | 5.4% | |
| r | 177972 | 5.2% | |
| l | 126302 | 3.7% | |
| d | 109455 | 3.2% | |
| c | 102355 | 3.0% | |
| u | 74203 | 2.2% | |
| p | 73981 | 2.2% | |
| m | 68419 | 2.0% | |
| h | 58870 | 1.7% | |
| g | 54543 | 1.6% | |
| f | 46125 | 1.3% | |
| y | 44389 | 1.3% | |
| 37442 | 1.1% | ||
| , | 34838 | 1.0% | |
| v | 32643 | 1.0% | |
| b | 32176 | 0.9% | |
| w | 27708 | 0.8% | |
| . | 21303 | 0.6% | |
| Other values (97) | 216201 | 6.3% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 2709513 | 79.0% | |
| Space Separator | 455487 | 13.3% | |
| Uppercase Letter | 124462 | 3.6% | |
| Other Punctuation | 73332 | 2.1% | |
| Control | 37442 | 1.1% | |
| Decimal Number | 12368 | 0.4% | |
| Dash Punctuation | 7864 | 0.2% | |
| Close Punctuation | 3374 | 0.1% | |
| Open Punctuation | 3338 | 0.1% | |
| Final Punctuation | 1706 | < 0.1% | |
| Connector Punctuation | 1359 | < 0.1% | |
| Math Symbol | 475 | < 0.1% | |
| Currency Symbol | 118 | < 0.1% | |
| Initial Punctuation | 109 | < 0.1% | |
| Other Symbol | 34 | < 0.1% | |
| Private Use | 13 | < 0.1% | |
| Modifier Symbol | 6 | < 0.1% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| S | 13595 | 10.9% | |
| A | 11593 | 9.3% | |
| E | 9733 | 7.8% | |
| T | 9271 | 7.4% | |
| C | 8454 | 6.8% | |
| D | 7791 | 6.3% | |
| P | 7532 | 6.1% | |
| I | 7397 | 5.9% | |
| M | 6319 | 5.1% | |
| R | 5973 | 4.8% | |
| O | 4946 | 4.0% | |
| B | 4079 | 3.3% | |
| L | 3949 | 3.2% | |
| W | 3679 | 3.0% | |
| N | 3505 | 2.8% | |
| F | 2806 | 2.3% | |
| U | 2302 | 1.8% | |
| Q | 2136 | 1.7% | |
| H | 1963 | 1.6% | |
| G | 1676 | 1.3% | |
| J | 1643 | 1.3% | |
| V | 1525 | 1.2% | |
| Y | 1095 | 0.9% | |
| K | 999 | 0.8% | |
| X | 386 | 0.3% | |
| Other values (2) | 115 | 0.1% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| , | 34838 | 47.5% | |
| . | 21303 | 29.1% | |
| : | 4857 | 6.6% | |
| / | 3831 | 5.2% | |
| • | 2570 | 3.5% | |
| ; | 1818 | 2.5% | |
| ' | 1041 | 1.4% | |
| & | 1003 | 1.4% | |
| * | 384 | 0.5% | |
| ! | 302 | 0.4% | |
| # | 268 | 0.4% | |
| ? | 243 | 0.3% | |
| @ | 236 | 0.3% | |
| " | 225 | 0.3% | |
| · | 209 | 0.3% | |
| % | 156 | 0.2% | |
| \ | 28 | < 0.1% | |
| … | 12 | < 0.1% | |
| § | 5 | < 0.1% | |
| ¿ | 3 | < 0.1% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 455485 | > 99.9% | ||
| 2 | < 0.1% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 320154 | 11.8% | |
| a | 236191 | 8.7% | |
| i | 234820 | 8.7% | |
| t | 231720 | 8.6% | |
| n | 223602 | 8.3% | |
| o | 203525 | 7.5% | |
| s | 186578 | 6.9% | |
| r | 177972 | 6.6% | |
| l | 126302 | 4.7% | |
| d | 109455 | 4.0% | |
| c | 102355 | 3.8% | |
| u | 74203 | 2.7% | |
| p | 73981 | 2.7% | |
| m | 68419 | 2.5% | |
| h | 58870 | 2.2% | |
| g | 54543 | 2.0% | |
| f | 46125 | 1.7% | |
| y | 44389 | 1.6% | |
| v | 32643 | 1.2% | |
| b | 32176 | 1.2% | |
| w | 27708 | 1.0% | |
| k | 15595 | 0.6% | |
| x | 12350 | 0.5% | |
| q | 7865 | 0.3% | |
| z | 4198 | 0.2% | |
| Other values (9) | 3774 | 0.1% |
Most frequent Control characters
| Value | Count | Frequency (%) | |
| 37442 | 100.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 7414 | 94.3% | |
| – | 376 | 4.8% | |
| — | 74 | 0.9% |
Most frequent Final Punctuation characters
| Value | Count | Frequency (%) | |
| ’ | 1599 | 93.7% | |
| ” | 103 | 6.0% | |
| » | 4 | 0.2% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 0 | 2669 | 21.6% | |
| 2 | 1903 | 15.4% | |
| 1 | 1864 | 15.1% | |
| 3 | 1164 | 9.4% | |
| 4 | 1041 | 8.4% | |
| 5 | 956 | 7.7% | |
| 6 | 764 | 6.2% | |
| 9 | 744 | 6.0% | |
| 8 | 654 | 5.3% | |
| 7 | 609 | 4.9% |
Most frequent Currency Symbol characters
| Value | Count | Frequency (%) | |
| $ | 118 | 100.0% |
Most frequent Math Symbol characters
| Value | Count | Frequency (%) | |
| + | 391 | 82.3% | |
| | | 39 | 8.2% | |
| ~ | 30 | 6.3% | |
| = | 9 | 1.9% | |
| > | 4 | 0.8% | |
| × | 2 | 0.4% |
Most frequent Initial Punctuation characters
| Value | Count | Frequency (%) | |
| “ | 105 | 96.3% | |
| ‘ | 4 | 3.7% |
Most frequent Open Punctuation characters
| Value | Count | Frequency (%) | |
| ( | 3326 | 99.6% | |
| [ | 10 | 0.3% | |
| { | 2 | 0.1% |
Most frequent Close Punctuation characters
| Value | Count | Frequency (%) | |
| ) | 3361 | 99.6% | |
| ] | 11 | 0.3% | |
| } | 2 | 0.1% |
Most frequent Other Symbol characters
| Value | Count | Frequency (%) | |
| ® | 27 | 79.4% | |
| ™ | 4 | 11.8% | |
| © | 3 | 8.8% |
Most frequent Connector Punctuation characters
| Value | Count | Frequency (%) | |
| _ | 1359 | 100.0% |
Most frequent Private Use characters
| Value | Count | Frequency (%) | |
| | 12 | 92.3% | |
| | 1 | 7.7% |
Most frequent Modifier Symbol characters
| Value | Count | Frequency (%) | |
| ` | 6 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 2833975 | 82.6% | |
| Common | 597012 | 17.4% | |
| Unknown | 13 | < 0.1% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 320154 | 11.3% | |
| a | 236191 | 8.3% | |
| i | 234820 | 8.3% | |
| t | 231720 | 8.2% | |
| n | 223602 | 7.9% | |
| o | 203525 | 7.2% | |
| s | 186578 | 6.6% | |
| r | 177972 | 6.3% | |
| l | 126302 | 4.5% | |
| d | 109455 | 3.9% | |
| c | 102355 | 3.6% | |
| u | 74203 | 2.6% | |
| p | 73981 | 2.6% | |
| m | 68419 | 2.4% | |
| h | 58870 | 2.1% | |
| g | 54543 | 1.9% | |
| f | 46125 | 1.6% | |
| y | 44389 | 1.6% | |
| v | 32643 | 1.2% | |
| b | 32176 | 1.1% | |
| w | 27708 | 1.0% | |
| k | 15595 | 0.6% | |
| S | 13595 | 0.5% | |
| x | 12350 | 0.4% | |
| A | 11593 | 0.4% | |
| Other values (36) | 115111 | 4.1% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 455485 | 76.3% | ||
| 37442 | 6.3% | ||
| , | 34838 | 5.8% | |
| . | 21303 | 3.6% | |
| - | 7414 | 1.2% | |
| : | 4857 | 0.8% | |
| / | 3831 | 0.6% | |
| ) | 3361 | 0.6% | |
| ( | 3326 | 0.6% | |
| 0 | 2669 | 0.4% | |
| • | 2570 | 0.4% | |
| 2 | 1903 | 0.3% | |
| 1 | 1864 | 0.3% | |
| ; | 1818 | 0.3% | |
| ’ | 1599 | 0.3% | |
| _ | 1359 | 0.2% | |
| 3 | 1164 | 0.2% | |
| 4 | 1041 | 0.2% | |
| ' | 1041 | 0.2% | |
| & | 1003 | 0.2% | |
| 5 | 956 | 0.2% | |
| 6 | 764 | 0.1% | |
| 9 | 744 | 0.1% | |
| 8 | 654 | 0.1% | |
| 7 | 609 | 0.1% | |
| Other values (34) | 3397 | 0.6% |
Most frequent Unknown characters
| Value | Count | Frequency (%) | |
| | 12 | 92.3% | |
| | 1 | 7.7% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 3425812 | 99.8% | |
| Punctuation | 4845 | 0.1% | |
| None | 310 | < 0.1% | |
| Alphabetic PF | 16 | < 0.1% | |
| PUA | 13 | < 0.1% | |
| Letterlike Symbols | 4 | < 0.1% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 455485 | 13.3% | ||
| e | 320154 | 9.3% | |
| a | 236191 | 6.9% | |
| i | 234820 | 6.9% | |
| t | 231720 | 6.8% | |
| n | 223602 | 6.5% | |
| o | 203525 | 5.9% | |
| s | 186578 | 5.4% | |
| r | 177972 | 5.2% | |
| l | 126302 | 3.7% | |
| d | 109455 | 3.2% | |
| c | 102355 | 3.0% | |
| u | 74203 | 2.2% | |
| p | 73981 | 2.2% | |
| m | 68419 | 2.0% | |
| h | 58870 | 1.7% | |
| g | 54543 | 1.6% | |
| f | 46125 | 1.3% | |
| y | 44389 | 1.3% | |
| 37442 | 1.1% | ||
| , | 34838 | 1.0% | |
| v | 32643 | 1.0% | |
| b | 32176 | 0.9% | |
| w | 27708 | 0.8% | |
| . | 21303 | 0.6% | |
| Other values (69) | 211013 | 6.2% |
Most frequent Punctuation characters
| Value | Count | Frequency (%) | |
| • | 2570 | 53.0% | |
| ’ | 1599 | 33.0% | |
| – | 376 | 7.8% | |
| “ | 105 | 2.2% | |
| ” | 103 | 2.1% | |
| — | 74 | 1.5% | |
| … | 12 | 0.2% | |
| ‘ | 4 | 0.1% | |
| 2 | < 0.1% |
Most frequent None characters
| Value | Count | Frequency (%) | |
| · | 209 | 67.4% | |
| Â | 47 | 15.2% | |
| ® | 27 | 8.7% | |
| â | 6 | 1.9% | |
| § | 5 | 1.6% | |
| » | 4 | 1.3% | |
| © | 3 | 1.0% | |
| ¿ | 3 | 1.0% | |
| é | 2 | 0.6% | |
| × | 2 | 0.6% | |
| ū | 1 | 0.3% | |
| ī | 1 | 0.3% |
Most frequent Letterlike Symbols characters
| Value | Count | Frequency (%) | |
| ™ | 4 | 100.0% |
Most frequent PUA characters
| Value | Count | Frequency (%) | |
| | 12 | 92.3% | |
| | 1 | 7.7% |
Most frequent Alphabetic PF characters
| Value | Count | Frequency (%) | |
| fi | 8 | 50.0% | |
| ff | 4 | 25.0% | |
| ffi | 2 | 12.5% | |
| fl | 2 | 12.5% |
Rating
Real number (ℝ≥0)
| Distinct count | 31 |
|---|---|
| Unique (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.7236559139784946 |
|---|---|
| Minimum | 2.0 |
| Maximum | 5.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 2.9 |
| Q1 | 3.3 |
| median | 3.7 |
| Q3 | 4.1 |
| 95-th percentile | 4.5 |
| Maximum | 5 |
| Range | 3 |
| Interquartile range (IQR) | 0.8 |
Descriptive statistics
| Standard deviation | 0.5095002405 |
|---|---|
| Coefficient of variation (CV) | 0.1368279595 |
| Kurtosis | 0.04300431024 |
| Mean | 3.723655914 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | -0.3643756039 |
| Sum | 3463 |
| Variance | 0.259590495 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 3.7 | 92 | 9.9% | |
| 3.3 | 84 | 9.0% | |
| 3.6 | 82 | 8.8% | |
| 4 | 82 | 8.8% | |
| 4.1 | 69 | 7.4% | |
| 3.9 | 67 | 7.2% | |
| 4.2 | 53 | 5.7% | |
| 3.2 | 50 | 5.4% | |
| 4.4 | 46 | 4.9% | |
| 4.3 | 46 | 4.9% | |
| 3 | 40 | 4.3% | |
| 3.5 | 39 | 4.2% | |
| 3.4 | 33 | 3.5% | |
| 3.8 | 29 | 3.1% | |
| 4.6 | 17 | 1.8% | |
| 4.5 | 16 | 1.7% | |
| 3.1 | 15 | 1.6% | |
| 2.6 | 11 | 1.2% | |
| 2.8 | 10 | 1.1% | |
| 2.9 | 9 | 1.0% | |
| 4.7 | 7 | 0.8% | |
| 2.7 | 6 | 0.6% | |
| 2.5 | 5 | 0.5% | |
| 4.9 | 5 | 0.5% | |
| 2.3 | 4 | 0.4% | |
| Other values (6) | 13 | 1.4% |
| Value | Count | Frequency (%) | |
| 2 | 1 | 0.1% | |
| 2.1 | 2 | 0.2% | |
| 2.2 | 4 | 0.4% | |
| 2.3 | 4 | 0.4% | |
| 2.4 | 1 | 0.1% | |
| 2.5 | 5 | 0.5% | |
| 2.6 | 11 | 1.2% | |
| 2.7 | 6 | 0.6% | |
| 2.8 | 10 | 1.1% | |
| 2.9 | 9 | 1.0% |
| Value | Count | Frequency (%) | |
| 5 | 1 | 0.1% | |
| 4.9 | 5 | 0.5% | |
| 4.8 | 4 | 0.4% | |
| 4.7 | 7 | 0.8% | |
| 4.6 | 17 | 1.8% | |
| 4.5 | 16 | 1.7% | |
| 4.4 | 46 | 4.9% | |
| 4.3 | 46 | 4.9% | |
| 4.2 | 53 | 5.7% | |
| 4.1 | 69 | 7.4% |
| Distinct count | 401 |
|---|---|
| Unique (%) | 43.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| ZDAAS 4.4 | 28 |
|---|---|
| US News & World Report ,L.P. 3.7 | 28 |
| Community Foundation of Northwest Indiana, Inc. 3.6 | 28 |
| Molina Healthcare 3.3 | 27 |
| NORC at the University of Chicago 3.0 | 27 |
| Other values (396) |
| Value | Count | Frequency (%) | |
| ZDAAS 4.4 | 28 | 3.0% | |
| US News & World Report ,L.P. 3.7 | 28 | 3.0% | |
| Community Foundation of Northwest Indiana, Inc. 3.6 | 28 | 3.0% | |
| Molina Healthcare 3.3 | 27 | 2.9% | |
| NORC at the University of Chicago 3.0 | 27 | 2.9% | |
| Berkley 3.7 | 27 | 2.9% | |
| Continental 3.9 | 27 | 2.9% | |
| Celestar Corporation 4.0 | 27 | 2.9% | |
| Trexin Consulting 4.2 | 26 | 2.8% | |
| Techligent 3.3 | 26 | 2.8% | |
| University of Texas at El Paso 4.3 | 26 | 2.8% | |
| SysMind 4.1 | 26 | 2.8% | |
| JM Family 4.1 | 26 | 2.8% | |
| UC Davis Medical Center 4.0 | 26 | 2.8% | |
| Forcepoint 3.2 | 26 | 2.8% | |
| Donegal Insurance Group 3.7 | 4 | 0.4% | |
| Leidos 3.7 | 4 | 0.4% | |
| Facebook 4.5 | 4 | 0.4% | |
| novalink Solutions llc 4.4 | 3 | 0.3% | |
| Integration Innovation, Inc. 4.0 | 3 | 0.3% | |
| Mindfinders 3.6 | 3 | 0.3% | |
| Plymouth Rock Assurance 3.6 | 3 | 0.3% | |
| Valid USA 3.6 | 3 | 0.3% | |
| Cenlar 2.5 | 3 | 0.3% | |
| Acacia Network 3.3 | 3 | 0.3% | |
| Other values (376) | 496 | 53.3% |
Length
| Max length | 60 |
|---|---|
| Median length | 18 |
| Mean length | 20.51290323 |
| Min length | 7 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 1327 | 7.0% | ||
| e | 1248 | 6.5% | |
| n | 1094 | 5.7% | |
| . | 1056 | 5.5% | |
| o | 1041 | 5.5% | |
| i | 991 | 5.2% | |
| a | 950 | 5.0% | |
| t | 945 | 5.0% | |
| 930 | 4.9% | ||
| r | 764 | 4.0% | |
| 3 | 661 | 3.5% | |
| s | 620 | 3.2% | |
| l | 619 | 3.2% | |
| 4 | 428 | 2.2% | |
| c | 426 | 2.2% | |
| C | 413 | 2.2% | |
| h | 279 | 1.5% | |
| d | 274 | 1.4% | |
| y | 267 | 1.4% | |
| u | 261 | 1.4% | |
| S | 230 | 1.2% | |
| m | 212 | 1.1% | |
| I | 192 | 1.0% | |
| p | 191 | 1.0% | |
| g | 180 | 0.9% | |
| Other values (47) | 3478 | 18.2% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 10982 | 57.6% | |
| Uppercase Letter | 2761 | 14.5% | |
| Decimal Number | 1874 | 9.8% | |
| Space Separator | 1327 | 7.0% | |
| Other Punctuation | 1190 | 6.2% | |
| Control | 930 | 4.9% | |
| Dash Punctuation | 10 | 0.1% | |
| Open Punctuation | 1 | < 0.1% | |
| Close Punctuation | 1 | < 0.1% | |
| Modifier Symbol | 1 | < 0.1% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| C | 413 | 15.0% | |
| S | 230 | 8.3% | |
| I | 192 | 7.0% | |
| M | 180 | 6.5% | |
| U | 169 | 6.1% | |
| T | 167 | 6.0% | |
| A | 158 | 5.7% | |
| N | 133 | 4.8% | |
| F | 128 | 4.6% | |
| P | 115 | 4.2% | |
| R | 114 | 4.1% | |
| L | 101 | 3.7% | |
| D | 95 | 3.4% | |
| B | 90 | 3.3% | |
| H | 85 | 3.1% | |
| E | 84 | 3.0% | |
| G | 74 | 2.7% | |
| W | 62 | 2.2% | |
| O | 54 | 2.0% | |
| J | 36 | 1.3% | |
| Z | 35 | 1.3% | |
| V | 21 | 0.8% | |
| K | 11 | 0.4% | |
| Y | 5 | 0.2% | |
| X | 5 | 0.2% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 1248 | 11.4% | |
| n | 1094 | 10.0% | |
| o | 1041 | 9.5% | |
| i | 991 | 9.0% | |
| a | 950 | 8.7% | |
| t | 945 | 8.6% | |
| r | 764 | 7.0% | |
| s | 620 | 5.6% | |
| l | 619 | 5.6% | |
| c | 426 | 3.9% | |
| h | 279 | 2.5% | |
| d | 274 | 2.5% | |
| y | 267 | 2.4% | |
| u | 261 | 2.4% | |
| m | 212 | 1.9% | |
| p | 191 | 1.7% | |
| g | 180 | 1.6% | |
| v | 160 | 1.5% | |
| f | 147 | 1.3% | |
| w | 92 | 0.8% | |
| k | 79 | 0.7% | |
| x | 75 | 0.7% | |
| b | 50 | 0.5% | |
| z | 9 | 0.1% | |
| q | 6 | 0.1% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1327 | 100.0% |
Most frequent Control characters
| Value | Count | Frequency (%) | |
| 930 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 3 | 661 | 35.3% | |
| 4 | 428 | 22.8% | |
| 2 | 163 | 8.7% | |
| 0 | 128 | 6.8% | |
| 6 | 111 | 5.9% | |
| 7 | 103 | 5.5% | |
| 1 | 89 | 4.7% | |
| 9 | 77 | 4.1% | |
| 5 | 69 | 3.7% | |
| 8 | 45 | 2.4% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| . | 1056 | 88.7% | |
| , | 92 | 7.7% | |
| & | 39 | 3.3% | |
| ' | 3 | 0.3% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 10 | 100.0% |
Most frequent Open Punctuation characters
| Value | Count | Frequency (%) | |
| ( | 1 | 100.0% |
Most frequent Close Punctuation characters
| Value | Count | Frequency (%) | |
| ) | 1 | 100.0% |
Most frequent Modifier Symbol characters
| Value | Count | Frequency (%) | |
| ` | 1 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 13743 | 72.0% | |
| Common | 5334 | 28.0% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 1248 | 9.1% | |
| n | 1094 | 8.0% | |
| o | 1041 | 7.6% | |
| i | 991 | 7.2% | |
| a | 950 | 6.9% | |
| t | 945 | 6.9% | |
| r | 764 | 5.6% | |
| s | 620 | 4.5% | |
| l | 619 | 4.5% | |
| c | 426 | 3.1% | |
| C | 413 | 3.0% | |
| h | 279 | 2.0% | |
| d | 274 | 2.0% | |
| y | 267 | 1.9% | |
| u | 261 | 1.9% | |
| S | 230 | 1.7% | |
| m | 212 | 1.5% | |
| I | 192 | 1.4% | |
| p | 191 | 1.4% | |
| g | 180 | 1.3% | |
| M | 180 | 1.3% | |
| U | 169 | 1.2% | |
| T | 167 | 1.2% | |
| v | 160 | 1.2% | |
| A | 158 | 1.1% | |
| Other values (27) | 1712 | 12.5% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1327 | 24.9% | ||
| . | 1056 | 19.8% | |
| 930 | 17.4% | ||
| 3 | 661 | 12.4% | |
| 4 | 428 | 8.0% | |
| 2 | 163 | 3.1% | |
| 0 | 128 | 2.4% | |
| 6 | 111 | 2.1% | |
| 7 | 103 | 1.9% | |
| , | 92 | 1.7% | |
| 1 | 89 | 1.7% | |
| 9 | 77 | 1.4% | |
| 5 | 69 | 1.3% | |
| 8 | 45 | 0.8% | |
| & | 39 | 0.7% | |
| - | 10 | 0.2% | |
| ' | 3 | 0.1% | |
| ( | 1 | < 0.1% | |
| ) | 1 | < 0.1% | |
| ` | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 19077 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 1327 | 7.0% | ||
| e | 1248 | 6.5% | |
| n | 1094 | 5.7% | |
| . | 1056 | 5.5% | |
| o | 1041 | 5.5% | |
| i | 991 | 5.2% | |
| a | 950 | 5.0% | |
| t | 945 | 5.0% | |
| 930 | 4.9% | ||
| r | 764 | 4.0% | |
| 3 | 661 | 3.5% | |
| s | 620 | 3.2% | |
| l | 619 | 3.2% | |
| 4 | 428 | 2.2% | |
| c | 426 | 2.2% | |
| C | 413 | 2.2% | |
| h | 279 | 1.5% | |
| d | 274 | 1.4% | |
| y | 267 | 1.4% | |
| u | 261 | 1.4% | |
| S | 230 | 1.2% | |
| m | 212 | 1.1% | |
| I | 192 | 1.0% | |
| p | 191 | 1.0% | |
| g | 180 | 0.9% | |
| Other values (47) | 3478 | 18.2% |
| Distinct count | 253 |
|---|---|
| Unique (%) | 27.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| Chicago, IL | 58 |
|---|---|
| Washington, DC | 46 |
| New York, NY | 36 |
| Austin, TX | 34 |
| Philadelphia, PA | 30 |
| Other values (248) |
| Value | Count | Frequency (%) | |
| Chicago, IL | 58 | 6.2% | |
| Washington, DC | 46 | 4.9% | |
| New York, NY | 36 | 3.9% | |
| Austin, TX | 34 | 3.7% | |
| Philadelphia, PA | 30 | 3.2% | |
| Brooklyn, NY | 29 | 3.1% | |
| Los Angeles, CA | 29 | 3.1% | |
| Munster, IN | 28 | 3.0% | |
| Bethesda, MD | 27 | 2.9% | |
| Doral, FL | 27 | 2.9% | |
| Long Beach, CA | 27 | 2.9% | |
| Deerfield Beach, FL | 27 | 2.9% | |
| Auburn Hills, MI | 27 | 2.9% | |
| Bentonville, AR | 26 | 2.8% | |
| El Paso, TX | 26 | 2.8% | |
| Arlington, VA | 17 | 1.8% | |
| Boston, MA | 15 | 1.6% | |
| San Francisco, CA | 12 | 1.3% | |
| Houston, TX | 7 | 0.8% | |
| Phoenix, AZ | 7 | 0.8% | |
| McLean, VA | 7 | 0.8% | |
| Tempe, AZ | 6 | 0.6% | |
| Baltimore, MD | 6 | 0.6% | |
| Denver, CO | 5 | 0.5% | |
| Seattle, WA | 5 | 0.5% | |
| Other values (228) | 366 | 39.4% |
Length
| Max length | 22 |
|---|---|
| Median length | 12 |
| Mean length | 12.88602151 |
| Min length | 8 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 1238 | 10.3% | ||
| , | 929 | 7.8% | |
| e | 729 | 6.1% | |
| n | 677 | 5.6% | |
| o | 666 | 5.6% | |
| a | 645 | 5.4% | |
| l | 561 | 4.7% | |
| i | 512 | 4.3% | |
| A | 470 | 3.9% | |
| r | 424 | 3.5% | |
| s | 400 | 3.3% | |
| t | 383 | 3.2% | |
| C | 318 | 2.7% | |
| h | 307 | 2.6% | |
| L | 235 | 2.0% | |
| g | 226 | 1.9% | |
| N | 211 | 1.8% | |
| u | 198 | 1.7% | |
| M | 197 | 1.6% | |
| B | 189 | 1.6% | |
| c | 186 | 1.6% | |
| d | 182 | 1.5% | |
| D | 176 | 1.5% | |
| I | 164 | 1.4% | |
| P | 158 | 1.3% | |
| Other values (27) | 1603 | 13.4% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 6713 | 56.0% | |
| Uppercase Letter | 3104 | 25.9% | |
| Space Separator | 1238 | 10.3% | |
| Other Punctuation | 929 | 7.8% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| A | 470 | 15.1% | |
| C | 318 | 10.2% | |
| L | 235 | 7.6% | |
| N | 211 | 6.8% | |
| M | 197 | 6.3% | |
| B | 189 | 6.1% | |
| D | 176 | 5.7% | |
| I | 164 | 5.3% | |
| P | 158 | 5.1% | |
| T | 127 | 4.1% | |
| Y | 120 | 3.9% | |
| F | 104 | 3.4% | |
| X | 89 | 2.9% | |
| W | 84 | 2.7% | |
| S | 79 | 2.5% | |
| H | 73 | 2.4% | |
| V | 61 | 2.0% | |
| R | 55 | 1.8% | |
| O | 53 | 1.7% | |
| E | 41 | 1.3% | |
| J | 35 | 1.1% | |
| G | 24 | 0.8% | |
| Z | 17 | 0.5% | |
| K | 12 | 0.4% | |
| U | 8 | 0.3% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 729 | 10.9% | |
| n | 677 | 10.1% | |
| o | 666 | 9.9% | |
| a | 645 | 9.6% | |
| l | 561 | 8.4% | |
| i | 512 | 7.6% | |
| r | 424 | 6.3% | |
| s | 400 | 6.0% | |
| t | 383 | 5.7% | |
| h | 307 | 4.6% | |
| g | 226 | 3.4% | |
| u | 198 | 2.9% | |
| c | 186 | 2.8% | |
| d | 182 | 2.7% | |
| k | 117 | 1.7% | |
| v | 83 | 1.2% | |
| y | 76 | 1.1% | |
| p | 72 | 1.1% | |
| w | 68 | 1.0% | |
| m | 61 | 0.9% | |
| f | 61 | 0.9% | |
| b | 53 | 0.8% | |
| x | 24 | 0.4% | |
| q | 2 | < 0.1% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| , | 929 | 100.0% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1238 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 9817 | 81.9% | |
| Common | 2167 | 18.1% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 729 | 7.4% | |
| n | 677 | 6.9% | |
| o | 666 | 6.8% | |
| a | 645 | 6.6% | |
| l | 561 | 5.7% | |
| i | 512 | 5.2% | |
| A | 470 | 4.8% | |
| r | 424 | 4.3% | |
| s | 400 | 4.1% | |
| t | 383 | 3.9% | |
| C | 318 | 3.2% | |
| h | 307 | 3.1% | |
| L | 235 | 2.4% | |
| g | 226 | 2.3% | |
| N | 211 | 2.1% | |
| u | 198 | 2.0% | |
| M | 197 | 2.0% | |
| B | 189 | 1.9% | |
| c | 186 | 1.9% | |
| d | 182 | 1.9% | |
| D | 176 | 1.8% | |
| I | 164 | 1.7% | |
| P | 158 | 1.6% | |
| T | 127 | 1.3% | |
| Y | 120 | 1.2% | |
| Other values (25) | 1356 | 13.8% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1238 | 57.1% | ||
| , | 929 | 42.9% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 11984 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 1238 | 10.3% | ||
| , | 929 | 7.8% | |
| e | 729 | 6.1% | |
| n | 677 | 5.6% | |
| o | 666 | 5.6% | |
| a | 645 | 5.4% | |
| l | 561 | 4.7% | |
| i | 512 | 4.3% | |
| A | 470 | 3.9% | |
| r | 424 | 3.5% | |
| s | 400 | 3.3% | |
| t | 383 | 3.2% | |
| C | 318 | 2.7% | |
| h | 307 | 2.6% | |
| L | 235 | 2.0% | |
| g | 226 | 1.9% | |
| N | 211 | 1.8% | |
| u | 198 | 1.7% | |
| M | 197 | 1.6% | |
| B | 189 | 1.6% | |
| c | 186 | 1.6% | |
| d | 182 | 1.5% | |
| D | 176 | 1.5% | |
| I | 164 | 1.4% | |
| P | 158 | 1.3% | |
| Other values (27) | 1603 | 13.4% |
| Distinct count | 1 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| -1 |
|---|
| Value | Count | Frequency (%) | |
| -1 | 930 | 100.0% |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Most occurring characters
| Value | Count | Frequency (%) | |
| - | 930 | 50.0% | |
| 1 | 930 | 50.0% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Dash Punctuation | 930 | 50.0% | |
| Decimal Number | 930 | 50.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 930 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 1 | 930 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Common | 1860 | 100.0% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| - | 930 | 50.0% | |
| 1 | 930 | 50.0% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 1860 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| - | 930 | 50.0% | |
| 1 | 930 | 50.0% |
Size
Categorical
| Distinct count | 8 |
|---|---|
| Unique (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 1001 to 5000 Employees | |
|---|---|
| 10000+ Employees | |
| 51 to 200 Employees | |
| 201 to 500 Employees | |
| 1 to 50 Employees | |
| Other values (3) |
| Value | Count | Frequency (%) | |
| 1001 to 5000 Employees | 245 | 26.3% | |
| 10000+ Employees | 197 | 21.2% | |
| 51 to 200 Employees | 138 | 14.8% | |
| 201 to 500 Employees | 115 | 12.4% | |
| 1 to 50 Employees | 102 | 11.0% | |
| 5001 to 10000 Employees | 67 | 7.2% | |
| 501 to 1000 Employees | 62 | 6.7% | |
| Unknown | 4 | 0.4% |
Length
| Max length | 23 |
|---|---|
| Median length | 20 |
| Mean length | 19.42903226 |
| Min length | 7 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 0 | 3386 | 18.7% | |
| 2384 | 13.2% | ||
| e | 1852 | 10.2% | |
| o | 1659 | 9.2% | |
| 1 | 1300 | 7.2% | |
| E | 926 | 5.1% | |
| m | 926 | 5.1% | |
| p | 926 | 5.1% | |
| l | 926 | 5.1% | |
| y | 926 | 5.1% | |
| s | 926 | 5.1% | |
| 5 | 729 | 4.0% | |
| t | 729 | 4.0% | |
| 2 | 253 | 1.4% | |
| + | 197 | 1.1% | |
| n | 12 | 0.1% | |
| U | 4 | < 0.1% | |
| k | 4 | < 0.1% | |
| w | 4 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 8890 | 49.2% | |
| Decimal Number | 5668 | 31.4% | |
| Space Separator | 2384 | 13.2% | |
| Uppercase Letter | 930 | 5.1% | |
| Math Symbol | 197 | 1.1% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 0 | 3386 | 59.7% | |
| 1 | 1300 | 22.9% | |
| 5 | 729 | 12.9% | |
| 2 | 253 | 4.5% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 2384 | 100.0% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 1852 | 20.8% | |
| o | 1659 | 18.7% | |
| m | 926 | 10.4% | |
| p | 926 | 10.4% | |
| l | 926 | 10.4% | |
| y | 926 | 10.4% | |
| s | 926 | 10.4% | |
| t | 729 | 8.2% | |
| n | 12 | 0.1% | |
| k | 4 | < 0.1% | |
| w | 4 | < 0.1% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| E | 926 | 99.6% | |
| U | 4 | 0.4% |
Most frequent Math Symbol characters
| Value | Count | Frequency (%) | |
| + | 197 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 9820 | 54.3% | |
| Common | 8249 | 45.7% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 0 | 3386 | 41.0% | |
| 2384 | 28.9% | ||
| 1 | 1300 | 15.8% | |
| 5 | 729 | 8.8% | |
| 2 | 253 | 3.1% | |
| + | 197 | 2.4% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 1852 | 18.9% | |
| o | 1659 | 16.9% | |
| E | 926 | 9.4% | |
| m | 926 | 9.4% | |
| p | 926 | 9.4% | |
| l | 926 | 9.4% | |
| y | 926 | 9.4% | |
| s | 926 | 9.4% | |
| t | 729 | 7.4% | |
| n | 12 | 0.1% | |
| U | 4 | < 0.1% | |
| k | 4 | < 0.1% | |
| w | 4 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 18069 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 0 | 3386 | 18.7% | |
| 2384 | 13.2% | ||
| e | 1852 | 10.2% | |
| o | 1659 | 9.2% | |
| 1 | 1300 | 7.2% | |
| E | 926 | 5.1% | |
| m | 926 | 5.1% | |
| p | 926 | 5.1% | |
| l | 926 | 5.1% | |
| y | 926 | 5.1% | |
| s | 926 | 5.1% | |
| 5 | 729 | 4.0% | |
| t | 729 | 4.0% | |
| 2 | 253 | 1.4% | |
| + | 197 | 1.1% | |
| n | 12 | 0.1% | |
| U | 4 | < 0.1% | |
| k | 4 | < 0.1% | |
| w | 4 | < 0.1% |
Founded
Real number (ℝ)
| Distinct count | 129 |
|---|---|
| Unique (%) | 13.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1593.5537634408602 |
|---|---|
| Minimum | -1 |
| Maximum | 2019 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 1877.75 |
| median | 1967 |
| Q3 | 1998 |
| 95-th percentile | 2013 |
| Maximum | 2019 |
| Range | 2020 |
| Interquartile range (IQR) | 120.25 |
Descriptive statistics
| Standard deviation | 772.0188357 |
|---|---|
| Coefficient of variation (CV) | 0.4844636268 |
| Kurtosis | 0.5083650893 |
| Mean | 1593.553763 |
| Median Absolute Deviation (MAD) | 37 |
| Skewness | -1.577548392 |
| Sum | 1482005 |
| Variance | 596013.0827 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| -1 | 176 | 18.9% | |
| 1999 | 37 | 4.0% | |
| 1914 | 34 | 3.7% | |
| 2005 | 34 | 3.7% | |
| 1941 | 30 | 3.2% | |
| 1980 | 30 | 3.2% | |
| 1968 | 30 | 3.2% | |
| 1985 | 30 | 3.2% | |
| 2016 | 28 | 3.0% | |
| 1967 | 28 | 3.0% | |
| 1933 | 28 | 3.0% | |
| 1871 | 27 | 2.9% | |
| 2009 | 15 | 1.6% | |
| 2012 | 15 | 1.6% | |
| 2004 | 14 | 1.5% | |
| 1997 | 12 | 1.3% | |
| 2000 | 11 | 1.2% | |
| 1982 | 10 | 1.1% | |
| 1995 | 10 | 1.1% | |
| 1996 | 10 | 1.1% | |
| 2001 | 10 | 1.1% | |
| 2003 | 9 | 1.0% | |
| 2011 | 9 | 1.0% | |
| 1983 | 8 | 0.9% | |
| 1986 | 8 | 0.9% | |
| Other values (104) | 277 | 29.8% |
| Value | Count | Frequency (%) | |
| -1 | 176 | 18.9% | |
| 1625 | 1 | 0.1% | |
| 1682 | 1 | 0.1% | |
| 1740 | 2 | 0.2% | |
| 1766 | 1 | 0.1% | |
| 1789 | 1 | 0.1% | |
| 1799 | 1 | 0.1% | |
| 1818 | 2 | 0.2% | |
| 1831 | 1 | 0.1% | |
| 1844 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 2019 | 1 | 0.1% | |
| 2017 | 3 | 0.3% | |
| 2016 | 28 | 3.0% | |
| 2015 | 6 | 0.6% | |
| 2014 | 5 | 0.5% | |
| 2013 | 5 | 0.5% | |
| 2012 | 15 | 1.6% | |
| 2011 | 9 | 1.0% | |
| 2010 | 3 | 0.3% | |
| 2009 | 15 | 1.6% |
Type of ownership
Categorical
| Distinct count | 11 |
|---|---|
| Unique (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| Company - Private | |
|---|---|
| Company - Public | |
| Nonprofit Organization | 102 |
| College / University | 44 |
| Subsidiary or Business Segment | 36 |
| Other values (6) | 22 |
| Value | Count | Frequency (%) | |
| Company - Private | 529 | 56.9% | |
| Company - Public | 197 | 21.2% | |
| Nonprofit Organization | 102 | 11.0% | |
| College / University | 44 | 4.7% | |
| Subsidiary or Business Segment | 36 | 3.9% | |
| Government | 11 | 1.2% | |
| Hospital | 6 | 0.6% | |
| Private Practice / Firm | 2 | 0.2% | |
| School / School District | 1 | 0.1% | |
| Other Organization | 1 | 0.1% | |
| Contract | 1 | 0.1% |
Length
| Max length | 30 |
|---|---|
| Median length | 17 |
| Mean length | 17.85268817 |
| Min length | 8 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 1760 | 10.6% | ||
| a | 1508 | 9.1% | |
| i | 1244 | 7.5% | |
| n | 1173 | 7.1% | |
| o | 1135 | 6.8% | |
| r | 870 | 5.2% | |
| t | 840 | 5.1% | |
| p | 834 | 5.0% | |
| y | 806 | 4.9% | |
| e | 796 | 4.8% | |
| m | 775 | 4.7% | |
| C | 771 | 4.6% | |
| P | 730 | 4.4% | |
| - | 726 | 4.4% | |
| v | 586 | 3.5% | |
| l | 293 | 1.8% | |
| u | 269 | 1.6% | |
| b | 233 | 1.4% | |
| c | 205 | 1.2% | |
| s | 195 | 1.2% | |
| g | 183 | 1.1% | |
| O | 104 | 0.6% | |
| z | 103 | 0.6% | |
| N | 102 | 0.6% | |
| f | 102 | 0.6% | |
| Other values (10) | 260 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 12189 | 73.4% | |
| Uppercase Letter | 1881 | 11.3% | |
| Space Separator | 1760 | 10.6% | |
| Dash Punctuation | 726 | 4.4% | |
| Other Punctuation | 47 | 0.3% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| C | 771 | 41.0% | |
| P | 730 | 38.8% | |
| O | 104 | 5.5% | |
| N | 102 | 5.4% | |
| S | 74 | 3.9% | |
| U | 44 | 2.3% | |
| B | 36 | 1.9% | |
| G | 11 | 0.6% | |
| H | 6 | 0.3% | |
| F | 2 | 0.1% | |
| D | 1 | 0.1% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| a | 1508 | 12.4% | |
| i | 1244 | 10.2% | |
| n | 1173 | 9.6% | |
| o | 1135 | 9.3% | |
| r | 870 | 7.1% | |
| t | 840 | 6.9% | |
| p | 834 | 6.8% | |
| y | 806 | 6.6% | |
| e | 796 | 6.5% | |
| m | 775 | 6.4% | |
| v | 586 | 4.8% | |
| l | 293 | 2.4% | |
| u | 269 | 2.2% | |
| b | 233 | 1.9% | |
| c | 205 | 1.7% | |
| s | 195 | 1.6% | |
| g | 183 | 1.5% | |
| z | 103 | 0.8% | |
| f | 102 | 0.8% | |
| d | 36 | 0.3% | |
| h | 3 | < 0.1% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1760 | 100.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 726 | 100.0% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| / | 47 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 14070 | 84.7% | |
| Common | 2533 | 15.3% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| a | 1508 | 10.7% | |
| i | 1244 | 8.8% | |
| n | 1173 | 8.3% | |
| o | 1135 | 8.1% | |
| r | 870 | 6.2% | |
| t | 840 | 6.0% | |
| p | 834 | 5.9% | |
| y | 806 | 5.7% | |
| e | 796 | 5.7% | |
| m | 775 | 5.5% | |
| C | 771 | 5.5% | |
| P | 730 | 5.2% | |
| v | 586 | 4.2% | |
| l | 293 | 2.1% | |
| u | 269 | 1.9% | |
| b | 233 | 1.7% | |
| c | 205 | 1.5% | |
| s | 195 | 1.4% | |
| g | 183 | 1.3% | |
| O | 104 | 0.7% | |
| z | 103 | 0.7% | |
| N | 102 | 0.7% | |
| f | 102 | 0.7% | |
| S | 74 | 0.5% | |
| U | 44 | 0.3% | |
| Other values (7) | 95 | 0.7% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1760 | 69.5% | ||
| - | 726 | 28.7% | |
| / | 47 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 16603 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 1760 | 10.6% | ||
| a | 1508 | 9.1% | |
| i | 1244 | 7.5% | |
| n | 1173 | 7.1% | |
| o | 1135 | 6.8% | |
| r | 870 | 5.2% | |
| t | 840 | 5.1% | |
| p | 834 | 5.0% | |
| y | 806 | 4.9% | |
| e | 796 | 4.8% | |
| m | 775 | 4.7% | |
| C | 771 | 4.6% | |
| P | 730 | 4.4% | |
| - | 726 | 4.4% | |
| v | 586 | 3.5% | |
| l | 293 | 1.8% | |
| u | 269 | 1.6% | |
| b | 233 | 1.4% | |
| c | 205 | 1.2% | |
| s | 195 | 1.2% | |
| g | 183 | 1.1% | |
| O | 104 | 0.6% | |
| z | 103 | 0.6% | |
| N | 102 | 0.6% | |
| f | 102 | 0.6% | |
| Other values (10) | 260 | 1.6% |
| Distinct count | 73 |
|---|---|
| Unique (%) | 7.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| Health Care Services & Hospitals | 79 |
|---|---|
| Insurance Carriers | 75 |
| Consulting | 70 |
| IT Services | 70 |
| Enterprise Software & Network Solutions | 68 |
| Other values (68) |
| Value | Count | Frequency (%) | |
| Health Care Services & Hospitals | 79 | 8.5% | |
| Insurance Carriers | 75 | 8.1% | |
| Consulting | 70 | 7.5% | |
| IT Services | 70 | 7.5% | |
| Enterprise Software & Network Solutions | 68 | 7.3% | |
| -1 | 51 | 5.5% | |
| Colleges & Universities | 45 | 4.8% | |
| Wholesale | 36 | 3.9% | |
| Research & Development | 35 | 3.8% | |
| Publishing | 35 | 3.8% | |
| Industrial Manufacturing | 35 | 3.8% | |
| Miscellaneous Manufacturing | 27 | 2.9% | |
| Staffing & Outsourcing | 27 | 2.9% | |
| Vehicle Dealers | 26 | 2.8% | |
| Aerospace & Defense | 24 | 2.6% | |
| Internet | 22 | 2.4% | |
| Computer Hardware & Software | 20 | 2.2% | |
| Advertising & Marketing | 18 | 1.9% | |
| Banks & Credit Unions | 16 | 1.7% | |
| Investment Banking & Asset Management | 14 | 1.5% | |
| Architectural & Engineering Services | 10 | 1.1% | |
| Lending | 9 | 1.0% | |
| Telecommunications Services | 8 | 0.9% | |
| Consumer Products Manufacturing | 7 | 0.8% | |
| Health Care Products Manufacturing | 6 | 0.6% | |
| Other values (48) | 97 | 10.4% |
Length
| Max length | 41 |
|---|---|
| Median length | 21 |
| Mean length | 20.37311828 |
| Min length | 2 |
Most occurring characters
| Value | Count | Frequency (%) | |
| e | 2129 | 11.2% | |
| 1533 | 8.1% | ||
| r | 1441 | 7.6% | |
| s | 1359 | 7.2% | |
| n | 1293 | 6.8% | |
| i | 1286 | 6.8% | |
| a | 1155 | 6.1% | |
| t | 1138 | 6.0% | |
| o | 832 | 4.4% | |
| l | 764 | 4.0% | |
| u | 645 | 3.4% | |
| c | 617 | 3.3% | |
| g | 435 | 2.3% | |
| & | 390 | 2.1% | |
| S | 382 | 2.0% | |
| C | 334 | 1.8% | |
| v | 302 | 1.6% | |
| p | 264 | 1.4% | |
| h | 259 | 1.4% | |
| f | 256 | 1.4% | |
| I | 221 | 1.2% | |
| H | 189 | 1.0% | |
| w | 180 | 1.0% | |
| M | 163 | 0.9% | |
| m | 136 | 0.7% | |
| Other values (27) | 1244 | 6.6% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 14812 | 78.2% | |
| Uppercase Letter | 2094 | 11.1% | |
| Space Separator | 1533 | 8.1% | |
| Other Punctuation | 403 | 2.1% | |
| Decimal Number | 53 | 0.3% | |
| Dash Punctuation | 52 | 0.3% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| S | 382 | 18.2% | |
| C | 334 | 16.0% | |
| I | 221 | 10.6% | |
| H | 189 | 9.0% | |
| M | 163 | 7.8% | |
| T | 102 | 4.9% | |
| E | 99 | 4.7% | |
| D | 89 | 4.3% | |
| A | 85 | 4.1% | |
| N | 71 | 3.4% | |
| U | 64 | 3.1% | |
| P | 64 | 3.1% | |
| R | 48 | 2.3% | |
| B | 43 | 2.1% | |
| O | 38 | 1.8% | |
| W | 36 | 1.7% | |
| V | 30 | 1.4% | |
| F | 16 | 0.8% | |
| L | 11 | 0.5% | |
| G | 8 | 0.4% | |
| K | 1 | < 0.1% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 2129 | 14.4% | |
| r | 1441 | 9.7% | |
| s | 1359 | 9.2% | |
| n | 1293 | 8.7% | |
| i | 1286 | 8.7% | |
| a | 1155 | 7.8% | |
| t | 1138 | 7.7% | |
| o | 832 | 5.6% | |
| l | 764 | 5.2% | |
| u | 645 | 4.4% | |
| c | 617 | 4.2% | |
| g | 435 | 2.9% | |
| v | 302 | 2.0% | |
| p | 264 | 1.8% | |
| h | 259 | 1.7% | |
| f | 256 | 1.7% | |
| w | 180 | 1.2% | |
| m | 136 | 0.9% | |
| d | 135 | 0.9% | |
| k | 121 | 0.8% | |
| b | 43 | 0.3% | |
| y | 8 | 0.1% | |
| z | 7 | < 0.1% | |
| q | 6 | < 0.1% | |
| x | 1 | < 0.1% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1533 | 100.0% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| & | 390 | 96.8% | |
| , | 13 | 3.2% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 52 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 1 | 52 | 98.1% | |
| 2 | 1 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 16906 | 89.2% | |
| Common | 2041 | 10.8% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 2129 | 12.6% | |
| r | 1441 | 8.5% | |
| s | 1359 | 8.0% | |
| n | 1293 | 7.6% | |
| i | 1286 | 7.6% | |
| a | 1155 | 6.8% | |
| t | 1138 | 6.7% | |
| o | 832 | 4.9% | |
| l | 764 | 4.5% | |
| u | 645 | 3.8% | |
| c | 617 | 3.6% | |
| g | 435 | 2.6% | |
| S | 382 | 2.3% | |
| C | 334 | 2.0% | |
| v | 302 | 1.8% | |
| p | 264 | 1.6% | |
| h | 259 | 1.5% | |
| f | 256 | 1.5% | |
| I | 221 | 1.3% | |
| H | 189 | 1.1% | |
| w | 180 | 1.1% | |
| M | 163 | 1.0% | |
| m | 136 | 0.8% | |
| d | 135 | 0.8% | |
| k | 121 | 0.7% | |
| Other values (21) | 870 | 5.1% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1533 | 75.1% | ||
| & | 390 | 19.1% | |
| - | 52 | 2.5% | |
| 1 | 52 | 2.5% | |
| , | 13 | 0.6% | |
| 2 | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 18947 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| e | 2129 | 11.2% | |
| 1533 | 8.1% | ||
| r | 1441 | 7.6% | |
| s | 1359 | 7.2% | |
| n | 1293 | 6.8% | |
| i | 1286 | 6.8% | |
| a | 1155 | 6.1% | |
| t | 1138 | 6.0% | |
| o | 832 | 4.4% | |
| l | 764 | 4.0% | |
| u | 645 | 3.4% | |
| c | 617 | 3.3% | |
| g | 435 | 2.3% | |
| & | 390 | 2.1% | |
| S | 382 | 2.0% | |
| C | 334 | 1.8% | |
| v | 302 | 1.6% | |
| p | 264 | 1.4% | |
| h | 259 | 1.4% | |
| f | 256 | 1.4% | |
| I | 221 | 1.2% | |
| H | 189 | 1.0% | |
| w | 180 | 1.0% | |
| M | 163 | 0.9% | |
| m | 136 | 0.7% | |
| Other values (27) | 1244 | 6.6% |
| Distinct count | 25 |
|---|---|
| Unique (%) | 2.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| Business Services | |
|---|---|
| Information Technology | |
| Manufacturing | |
| Health Care | |
| Insurance | |
| Other values (20) |
| Value | Count | Frequency (%) | |
| Business Services | 200 | 21.5% | |
| Information Technology | 180 | 19.4% | |
| Manufacturing | 89 | 9.6% | |
| Health Care | 79 | 8.5% | |
| Insurance | 77 | 8.3% | |
| -1 | 51 | 5.5% | |
| Education | 50 | 5.4% | |
| Finance | 43 | 4.6% | |
| Media | 40 | 4.3% | |
| Retail | 34 | 3.7% | |
| Aerospace & Defense | 24 | 2.6% | |
| Telecommunications | 12 | 1.3% | |
| Government | 10 | 1.1% | |
| Non-Profit | 8 | 0.9% | |
| Oil, Gas, Energy & Utilities | 5 | 0.5% | |
| Travel & Tourism | 5 | 0.5% | |
| Transportation & Logistics | 4 | 0.4% | |
| Arts, Entertainment & Recreation | 4 | 0.4% | |
| Biotech & Pharmaceuticals | 4 | 0.4% | |
| Accounting & Legal | 3 | 0.3% | |
| Construction, Repair & Maintenance | 3 | 0.3% | |
| Real Estate | 2 | 0.2% | |
| Agriculture & Forestry | 1 | 0.1% | |
| Consumer Services | 1 | 0.1% | |
| Restaurants, Bars & Food Services | 1 | 0.1% |
Length
| Max length | 34 |
|---|---|
| Median length | 13 |
| Mean length | 13.96774194 |
| Min length | 2 |
Most occurring characters
| Value | Count | Frequency (%) | |
| e | 1359 | 10.5% | |
| n | 1336 | 10.3% | |
| s | 984 | 7.6% | |
| i | 936 | 7.2% | |
| o | 882 | 6.8% | |
| a | 853 | 6.6% | |
| c | 722 | 5.6% | |
| r | 721 | 5.6% | |
| 589 | 4.5% | ||
| u | 536 | 4.1% | |
| t | 532 | 4.1% | |
| l | 330 | 2.5% | |
| f | 301 | 2.3% | |
| g | 285 | 2.2% | |
| h | 267 | 2.1% | |
| I | 257 | 2.0% | |
| m | 228 | 1.8% | |
| v | 217 | 1.7% | |
| T | 206 | 1.6% | |
| B | 205 | 1.6% | |
| S | 202 | 1.6% | |
| y | 186 | 1.4% | |
| M | 132 | 1.0% | |
| d | 91 | 0.7% | |
| C | 83 | 0.6% | |
| Other values (17) | 550 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 10797 | 83.1% | |
| Uppercase Letter | 1422 | 10.9% | |
| Space Separator | 589 | 4.5% | |
| Other Punctuation | 72 | 0.6% | |
| Dash Punctuation | 59 | 0.5% | |
| Decimal Number | 51 | 0.4% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| I | 257 | 18.1% | |
| T | 206 | 14.5% | |
| B | 205 | 14.4% | |
| S | 202 | 14.2% | |
| M | 132 | 9.3% | |
| C | 83 | 5.8% | |
| H | 79 | 5.6% | |
| E | 61 | 4.3% | |
| F | 45 | 3.2% | |
| R | 44 | 3.1% | |
| A | 32 | 2.3% | |
| D | 24 | 1.7% | |
| G | 15 | 1.1% | |
| P | 12 | 0.8% | |
| N | 8 | 0.6% | |
| L | 7 | 0.5% | |
| O | 5 | 0.4% | |
| U | 5 | 0.4% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 1359 | 12.6% | |
| n | 1336 | 12.4% | |
| s | 984 | 9.1% | |
| i | 936 | 8.7% | |
| o | 882 | 8.2% | |
| a | 853 | 7.9% | |
| c | 722 | 6.7% | |
| r | 721 | 6.7% | |
| u | 536 | 5.0% | |
| t | 532 | 4.9% | |
| l | 330 | 3.1% | |
| f | 301 | 2.8% | |
| g | 285 | 2.6% | |
| h | 267 | 2.5% | |
| m | 228 | 2.1% | |
| v | 217 | 2.0% | |
| y | 186 | 1.7% | |
| d | 91 | 0.8% | |
| p | 31 | 0.3% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| & | 54 | 75.0% | |
| , | 18 | 25.0% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 589 | 100.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 59 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 1 | 51 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 12219 | 94.1% | |
| Common | 771 | 5.9% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 1359 | 11.1% | |
| n | 1336 | 10.9% | |
| s | 984 | 8.1% | |
| i | 936 | 7.7% | |
| o | 882 | 7.2% | |
| a | 853 | 7.0% | |
| c | 722 | 5.9% | |
| r | 721 | 5.9% | |
| u | 536 | 4.4% | |
| t | 532 | 4.4% | |
| l | 330 | 2.7% | |
| f | 301 | 2.5% | |
| g | 285 | 2.3% | |
| h | 267 | 2.2% | |
| I | 257 | 2.1% | |
| m | 228 | 1.9% | |
| v | 217 | 1.8% | |
| T | 206 | 1.7% | |
| B | 205 | 1.7% | |
| S | 202 | 1.7% | |
| y | 186 | 1.5% | |
| M | 132 | 1.1% | |
| d | 91 | 0.7% | |
| C | 83 | 0.7% | |
| H | 79 | 0.6% | |
| Other values (12) | 289 | 2.4% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 589 | 76.4% | ||
| - | 59 | 7.7% | |
| & | 54 | 7.0% | |
| 1 | 51 | 6.6% | |
| , | 18 | 2.3% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 12990 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| e | 1359 | 10.5% | |
| n | 1336 | 10.3% | |
| s | 984 | 7.6% | |
| i | 936 | 7.2% | |
| o | 882 | 6.8% | |
| a | 853 | 6.6% | |
| c | 722 | 5.6% | |
| r | 721 | 5.6% | |
| 589 | 4.5% | ||
| u | 536 | 4.1% | |
| t | 532 | 4.1% | |
| l | 330 | 2.5% | |
| f | 301 | 2.3% | |
| g | 285 | 2.2% | |
| h | 267 | 2.1% | |
| I | 257 | 2.0% | |
| m | 228 | 1.8% | |
| v | 217 | 1.7% | |
| T | 206 | 1.6% | |
| B | 205 | 1.6% | |
| S | 202 | 1.6% | |
| y | 186 | 1.4% | |
| M | 132 | 1.0% | |
| d | 91 | 0.7% | |
| C | 83 | 0.6% | |
| Other values (17) | 550 | 4.2% |
Revenue
Categorical
| Distinct count | 13 |
|---|---|
| Unique (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| $100 to $500 million (USD) | |
|---|---|
| Unknown / Non-Applicable | |
| $10+ billion (USD) | |
| $25 to $50 million (USD) | |
| Less than $1 million (USD) | |
| Other values (8) |
| Value | Count | Frequency (%) | |
| $100 to $500 million (USD) | 191 | 20.5% | |
| Unknown / Non-Applicable | 132 | 14.2% | |
| $10+ billion (USD) | 115 | 12.4% | |
| $25 to $50 million (USD) | 82 | 8.8% | |
| Less than $1 million (USD) | 82 | 8.8% | |
| $10 to $25 million (USD) | 62 | 6.7% | |
| $2 to $5 billion (USD) | 61 | 6.6% | |
| $5 to $10 billion (USD) | 49 | 5.3% | |
| $1 to $5 million (USD) | 39 | 4.2% | |
| $500 million to $1 billion (USD) | 37 | 4.0% | |
| $50 to $100 million (USD) | 32 | 3.4% | |
| $1 to $2 billion (USD) | 29 | 3.1% | |
| $5 to $10 million (USD) | 19 | 2.0% |
Length
| Max length | 32 |
|---|---|
| Median length | 24 |
| Mean length | 23.84731183 |
| Min length | 18 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 3263 | 14.7% | ||
| l | 1934 | 8.7% | |
| i | 1802 | 8.1% | |
| o | 1700 | 7.7% | |
| n | 1445 | 6.5% | |
| $ | 1399 | 6.3% | |
| 0 | 1261 | 5.7% | |
| U | 930 | 4.2% | |
| ( | 798 | 3.6% | |
| S | 798 | 3.6% | |
| D | 798 | 3.6% | |
| ) | 798 | 3.6% | |
| t | 683 | 3.1% | |
| 1 | 655 | 3.0% | |
| 5 | 654 | 2.9% | |
| m | 544 | 2.5% | |
| b | 423 | 1.9% | |
| p | 264 | 1.2% | |
| 2 | 234 | 1.1% | |
| a | 214 | 1.0% | |
| e | 214 | 1.0% | |
| s | 164 | 0.7% | |
| k | 132 | 0.6% | |
| w | 132 | 0.6% | |
| / | 132 | 0.6% | |
| Other values (7) | 807 | 3.6% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 9865 | 44.5% | |
| Space Separator | 3263 | 14.7% | |
| Uppercase Letter | 2872 | 12.9% | |
| Decimal Number | 2804 | 12.6% | |
| Currency Symbol | 1399 | 6.3% | |
| Open Punctuation | 798 | 3.6% | |
| Close Punctuation | 798 | 3.6% | |
| Other Punctuation | 132 | 0.6% | |
| Dash Punctuation | 132 | 0.6% | |
| Math Symbol | 115 | 0.5% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| U | 930 | 32.4% | |
| S | 798 | 27.8% | |
| D | 798 | 27.8% | |
| N | 132 | 4.6% | |
| A | 132 | 4.6% | |
| L | 82 | 2.9% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| l | 1934 | 19.6% | |
| i | 1802 | 18.3% | |
| o | 1700 | 17.2% | |
| n | 1445 | 14.6% | |
| t | 683 | 6.9% | |
| m | 544 | 5.5% | |
| b | 423 | 4.3% | |
| p | 264 | 2.7% | |
| a | 214 | 2.2% | |
| e | 214 | 2.2% | |
| s | 164 | 1.7% | |
| k | 132 | 1.3% | |
| w | 132 | 1.3% | |
| c | 132 | 1.3% | |
| h | 82 | 0.8% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 3263 | 100.0% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| / | 132 | 100.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 132 | 100.0% |
Most frequent Currency Symbol characters
| Value | Count | Frequency (%) | |
| $ | 1399 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 0 | 1261 | 45.0% | |
| 1 | 655 | 23.4% | |
| 5 | 654 | 23.3% | |
| 2 | 234 | 8.3% |
Most frequent Math Symbol characters
| Value | Count | Frequency (%) | |
| + | 115 | 100.0% |
Most frequent Open Punctuation characters
| Value | Count | Frequency (%) | |
| ( | 798 | 100.0% |
Most frequent Close Punctuation characters
| Value | Count | Frequency (%) | |
| ) | 798 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 12737 | 57.4% | |
| Common | 9441 | 42.6% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| l | 1934 | 15.2% | |
| i | 1802 | 14.1% | |
| o | 1700 | 13.3% | |
| n | 1445 | 11.3% | |
| U | 930 | 7.3% | |
| S | 798 | 6.3% | |
| D | 798 | 6.3% | |
| t | 683 | 5.4% | |
| m | 544 | 4.3% | |
| b | 423 | 3.3% | |
| p | 264 | 2.1% | |
| a | 214 | 1.7% | |
| e | 214 | 1.7% | |
| s | 164 | 1.3% | |
| k | 132 | 1.0% | |
| w | 132 | 1.0% | |
| N | 132 | 1.0% | |
| A | 132 | 1.0% | |
| c | 132 | 1.0% | |
| L | 82 | 0.6% | |
| h | 82 | 0.6% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 3263 | 34.6% | ||
| $ | 1399 | 14.8% | |
| 0 | 1261 | 13.4% | |
| ( | 798 | 8.5% | |
| ) | 798 | 8.5% | |
| 1 | 655 | 6.9% | |
| 5 | 654 | 6.9% | |
| 2 | 234 | 2.5% | |
| / | 132 | 1.4% | |
| - | 132 | 1.4% | |
| + | 115 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 22178 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 3263 | 14.7% | ||
| l | 1934 | 8.7% | |
| i | 1802 | 8.1% | |
| o | 1700 | 7.7% | |
| n | 1445 | 6.5% | |
| $ | 1399 | 6.3% | |
| 0 | 1261 | 5.7% | |
| U | 930 | 4.2% | |
| ( | 798 | 3.6% | |
| S | 798 | 3.6% | |
| D | 798 | 3.6% | |
| ) | 798 | 3.6% | |
| t | 683 | 3.1% | |
| 1 | 655 | 3.0% | |
| 5 | 654 | 2.9% | |
| m | 544 | 2.5% | |
| b | 423 | 1.9% | |
| p | 264 | 1.2% | |
| 2 | 234 | 1.1% | |
| a | 214 | 1.0% | |
| e | 214 | 1.0% | |
| s | 164 | 0.7% | |
| k | 132 | 0.6% | |
| w | 132 | 0.6% | |
| / | 132 | 0.6% | |
| Other values (7) | 807 | 3.6% |
| Distinct count | 1 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| -1 |
|---|
| Value | Count | Frequency (%) | |
| -1 | 930 | 100.0% |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Most occurring characters
| Value | Count | Frequency (%) | |
| - | 930 | 50.0% | |
| 1 | 930 | 50.0% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Dash Punctuation | 930 | 50.0% | |
| Decimal Number | 930 | 50.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 930 | 100.0% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 1 | 930 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Common | 1860 | 100.0% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| - | 930 | 50.0% | |
| 1 | 930 | 50.0% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 1860 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| - | 930 | 50.0% | |
| 1 | 930 | 50.0% |
hourly
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 | 2 |
| Value | Count | Frequency (%) | |
| 0 | 928 | 99.8% | |
| 1 | 2 | 0.2% |
| Distinct count | 61 |
|---|---|
| Unique (%) | 6.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 47933.333333333336 |
|---|---|
| Minimum | 26000 |
| Maximum | 112000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | 26000 |
|---|---|
| 5-th percentile | 32000 |
| Q1 | 39000 |
| median | 45000 |
| Q3 | 55000 |
| 95-th percentile | 71000 |
| Maximum | 112000 |
| Range | 86000 |
| Interquartile range (IQR) | 16000 |
Descriptive statistics
| Standard deviation | 12378.4887 |
|---|---|
| Coefficient of variation (CV) | 0.2582438532 |
| Kurtosis | 1.748846684 |
| Mean | 47933.33333 |
| Median Absolute Deviation (MAD) | 8000 |
| Skewness | 1.026753547 |
| Sum | 44578000 |
| Variance | 153226982.4 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 55000 | 68 | 7.3% | |
| 49000 | 63 | 6.8% | |
| 44000 | 52 | 5.6% | |
| 53000 | 46 | 4.9% | |
| 45000 | 46 | 4.9% | |
| 36000 | 45 | 4.8% | |
| 43000 | 42 | 4.5% | |
| 35000 | 39 | 4.2% | |
| 39000 | 39 | 4.2% | |
| 59000 | 34 | 3.7% | |
| 29000 | 29 | 3.1% | |
| 71000 | 29 | 3.1% | |
| 41000 | 27 | 2.9% | |
| 46000 | 26 | 2.8% | |
| 63000 | 26 | 2.8% | |
| 38000 | 25 | 2.7% | |
| 37000 | 21 | 2.3% | |
| 42000 | 20 | 2.2% | |
| 34000 | 20 | 2.2% | |
| 40000 | 20 | 2.2% | |
| 48000 | 19 | 2.0% | |
| 33000 | 17 | 1.8% | |
| 52000 | 16 | 1.7% | |
| 47000 | 15 | 1.6% | |
| 60000 | 12 | 1.3% | |
| Other values (36) | 134 | 14.4% |
| Value | Count | Frequency (%) | |
| 26000 | 5 | 0.5% | |
| 28000 | 2 | 0.2% | |
| 29000 | 29 | 3.1% | |
| 30000 | 7 | 0.8% | |
| 31000 | 2 | 0.2% | |
| 32000 | 9 | 1.0% | |
| 33000 | 17 | 1.8% | |
| 34000 | 20 | 2.2% | |
| 35000 | 39 | 4.2% | |
| 36000 | 45 | 4.8% |
| Value | Count | Frequency (%) | |
| 112000 | 1 | 0.1% | |
| 103000 | 1 | 0.1% | |
| 98000 | 2 | 0.2% | |
| 96000 | 1 | 0.1% | |
| 91000 | 1 | 0.1% | |
| 89000 | 1 | 0.1% | |
| 85000 | 5 | 0.5% | |
| 83000 | 2 | 0.2% | |
| 81000 | 4 | 0.4% | |
| 80000 | 2 | 0.2% |
| Distinct count | 97 |
|---|---|
| Unique (%) | 10.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 84112.90322580645 |
|---|---|
| Minimum | 35000 |
| Maximum | 193000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | 35000 |
|---|---|
| 5-th percentile | 58000 |
| Q1 | 71000 |
| median | 81500 |
| Q3 | 94000 |
| 95-th percentile | 118000 |
| Maximum | 193000 |
| Range | 158000 |
| Interquartile range (IQR) | 23000 |
Descriptive statistics
| Standard deviation | 19404.06961 |
|---|---|
| Coefficient of variation (CV) | 0.2306907604 |
| Kurtosis | 2.680136205 |
| Mean | 84112.90323 |
| Median Absolute Deviation (MAD) | 11500 |
| Skewness | 1.06228676 |
| Sum | 78225000 |
| Variance | 376517917.3 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 80000 | 66 | 7.1% | |
| 86000 | 43 | 4.6% | |
| 71000 | 42 | 4.5% | |
| 81000 | 42 | 4.5% | |
| 96000 | 38 | 4.1% | |
| 65000 | 36 | 3.9% | |
| 87000 | 36 | 3.9% | |
| 88000 | 36 | 3.9% | |
| 94000 | 35 | 3.8% | |
| 64000 | 32 | 3.4% | |
| 100000 | 32 | 3.4% | |
| 92000 | 31 | 3.3% | |
| 106000 | 29 | 3.1% | |
| 51000 | 29 | 3.1% | |
| 76000 | 24 | 2.6% | |
| 66000 | 24 | 2.6% | |
| 78000 | 15 | 1.6% | |
| 72000 | 15 | 1.6% | |
| 75000 | 15 | 1.6% | |
| 85000 | 13 | 1.4% | |
| 63000 | 13 | 1.4% | |
| 60000 | 12 | 1.3% | |
| 83000 | 12 | 1.3% | |
| 69000 | 12 | 1.3% | |
| 59000 | 11 | 1.2% | |
| Other values (72) | 237 | 25.5% |
| Value | Count | Frequency (%) | |
| 35000 | 1 | 0.1% | |
| 38000 | 1 | 0.1% | |
| 44000 | 1 | 0.1% | |
| 46000 | 1 | 0.1% | |
| 49000 | 1 | 0.1% | |
| 50000 | 1 | 0.1% | |
| 51000 | 29 | 3.1% | |
| 55000 | 2 | 0.2% | |
| 56000 | 4 | 0.4% | |
| 57000 | 5 | 0.5% |
| Value | Count | Frequency (%) | |
| 193000 | 1 | 0.1% | |
| 176000 | 1 | 0.1% | |
| 163000 | 1 | 0.1% | |
| 156000 | 1 | 0.1% | |
| 155000 | 2 | 0.2% | |
| 153000 | 2 | 0.2% | |
| 149000 | 1 | 0.1% | |
| 147000 | 1 | 0.1% | |
| 146000 | 1 | 0.1% | |
| 145000 | 1 | 0.1% |
| Distinct count | 136 |
|---|---|
| Unique (%) | 14.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 66023.1182795699 |
|---|---|
| Minimum | 31500.0 |
| Maximum | 145500.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | 31500 |
|---|---|
| 5-th percentile | 45000 |
| Q1 | 55000 |
| median | 63750 |
| Q3 | 74500 |
| 95-th percentile | 92500 |
| Maximum | 145500 |
| Range | 114000 |
| Interquartile range (IQR) | 19500 |
Descriptive statistics
| Standard deviation | 15606.85771 |
|---|---|
| Coefficient of variation (CV) | 0.2363847409 |
| Kurtosis | 2.255642017 |
| Mean | 66023.11828 |
| Median Absolute Deviation (MAD) | 9500 |
| Skewness | 1.004783424 |
| Sum | 61401500 |
| Variance | 243574007.5 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 61500 | 37 | 4.0% | |
| 74500 | 37 | 4.0% | |
| 68500 | 36 | 3.9% | |
| 63000 | 34 | 3.7% | |
| 67500 | 33 | 3.5% | |
| 50500 | 33 | 3.5% | |
| 84500 | 33 | 3.5% | |
| 49500 | 32 | 3.4% | |
| 55000 | 32 | 3.4% | |
| 71000 | 31 | 3.3% | |
| 79500 | 28 | 3.0% | |
| 72500 | 28 | 3.0% | |
| 62000 | 28 | 3.0% | |
| 83500 | 28 | 3.0% | |
| 40000 | 27 | 2.9% | |
| 66000 | 16 | 1.7% | |
| 52000 | 14 | 1.5% | |
| 58000 | 14 | 1.5% | |
| 55500 | 12 | 1.3% | |
| 46500 | 12 | 1.3% | |
| 56500 | 12 | 1.3% | |
| 61000 | 11 | 1.2% | |
| 51000 | 11 | 1.2% | |
| 60000 | 10 | 1.1% | |
| 64000 | 10 | 1.1% | |
| Other values (111) | 331 | 35.6% |
| Value | Count | Frequency (%) | |
| 31500 | 1 | 0.1% | |
| 33500 | 1 | 0.1% | |
| 35000 | 1 | 0.1% | |
| 36000 | 1 | 0.1% | |
| 38000 | 1 | 0.1% | |
| 38500 | 3 | 0.3% | |
| 40000 | 27 | 2.9% | |
| 42000 | 1 | 0.1% | |
| 42500 | 1 | 0.1% | |
| 43000 | 2 | 0.2% |
| Value | Count | Frequency (%) | |
| 145500 | 1 | 0.1% | |
| 144000 | 1 | 0.1% | |
| 129500 | 1 | 0.1% | |
| 129000 | 1 | 0.1% | |
| 127000 | 1 | 0.1% | |
| 122000 | 1 | 0.1% | |
| 120000 | 1 | 0.1% | |
| 119000 | 1 | 0.1% | |
| 118000 | 1 | 0.1% | |
| 115500 | 1 | 0.1% |
| Distinct count | 401 |
|---|---|
| Unique (%) | 43.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| ZDAAS | 28 |
|---|---|
| US News & World Report ,L.P. | 28 |
| Community Foundation of Northwest Indiana, Inc. | 28 |
| Celestar Corporation | 27 |
| Berkley | 27 |
| Other values (396) |
| Value | Count | Frequency (%) | |
| ZDAAS | 28 | 3.0% | |
| US News & World Report ,L.P. | 28 | 3.0% | |
| Community Foundation of Northwest Indiana, Inc. | 28 | 3.0% | |
| Celestar Corporation | 27 | 2.9% | |
| Berkley | 27 | 2.9% | |
| NORC at the University of Chicago | 27 | 2.9% | |
| Molina Healthcare | 27 | 2.9% | |
| Continental | 27 | 2.9% | |
| JM Family | 26 | 2.8% | |
| Techligent | 26 | 2.8% | |
| Trexin Consulting | 26 | 2.8% | |
| Forcepoint | 26 | 2.8% | |
| SysMind | 26 | 2.8% | |
| University of Texas at El Paso | 26 | 2.8% | |
| UC Davis Medical Center | 26 | 2.8% | |
| 4 | 0.4% | ||
| Donegal Insurance Group | 4 | 0.4% | |
| Leidos | 4 | 0.4% | |
| Federal Reserve Bank of Boston | 3 | 0.3% | |
| CTDI | 3 | 0.3% | |
| Mindfinders | 3 | 0.3% | |
| novalink Solutions llc | 3 | 0.3% | |
| Envision LLC | 3 | 0.3% | |
| Cenlar | 3 | 0.3% | |
| RWJBarnabas Health | 3 | 0.3% | |
| Other values (376) | 496 | 53.3% |
Length
| Max length | 56 |
|---|---|
| Median length | 14 |
| Mean length | 16.51290323 |
| Min length | 3 |
Most occurring characters
| Value | Count | Frequency (%) | |
| 1327 | 8.6% | ||
| e | 1248 | 8.1% | |
| n | 1094 | 7.1% | |
| o | 1041 | 6.8% | |
| i | 991 | 6.5% | |
| a | 950 | 6.2% | |
| t | 945 | 6.2% | |
| r | 764 | 5.0% | |
| s | 620 | 4.0% | |
| l | 619 | 4.0% | |
| c | 426 | 2.8% | |
| C | 413 | 2.7% | |
| h | 279 | 1.8% | |
| d | 274 | 1.8% | |
| y | 267 | 1.7% | |
| u | 261 | 1.7% | |
| S | 230 | 1.5% | |
| m | 212 | 1.4% | |
| I | 192 | 1.3% | |
| p | 191 | 1.2% | |
| g | 180 | 1.2% | |
| M | 180 | 1.2% | |
| U | 169 | 1.1% | |
| T | 167 | 1.1% | |
| v | 160 | 1.0% | |
| Other values (41) | 2157 | 14.0% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 10982 | 71.5% | |
| Uppercase Letter | 2761 | 18.0% | |
| Space Separator | 1327 | 8.6% | |
| Other Punctuation | 260 | 1.7% | |
| Decimal Number | 14 | 0.1% | |
| Dash Punctuation | 10 | 0.1% | |
| Open Punctuation | 1 | < 0.1% | |
| Close Punctuation | 1 | < 0.1% | |
| Modifier Symbol | 1 | < 0.1% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| C | 413 | 15.0% | |
| S | 230 | 8.3% | |
| I | 192 | 7.0% | |
| M | 180 | 6.5% | |
| U | 169 | 6.1% | |
| T | 167 | 6.0% | |
| A | 158 | 5.7% | |
| N | 133 | 4.8% | |
| F | 128 | 4.6% | |
| P | 115 | 4.2% | |
| R | 114 | 4.1% | |
| L | 101 | 3.7% | |
| D | 95 | 3.4% | |
| B | 90 | 3.3% | |
| H | 85 | 3.1% | |
| E | 84 | 3.0% | |
| G | 74 | 2.7% | |
| W | 62 | 2.2% | |
| O | 54 | 2.0% | |
| J | 36 | 1.3% | |
| Z | 35 | 1.3% | |
| V | 21 | 0.8% | |
| K | 11 | 0.4% | |
| Y | 5 | 0.2% | |
| X | 5 | 0.2% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 1248 | 11.4% | |
| n | 1094 | 10.0% | |
| o | 1041 | 9.5% | |
| i | 991 | 9.0% | |
| a | 950 | 8.7% | |
| t | 945 | 8.6% | |
| r | 764 | 7.0% | |
| s | 620 | 5.6% | |
| l | 619 | 5.6% | |
| c | 426 | 3.9% | |
| h | 279 | 2.5% | |
| d | 274 | 2.5% | |
| y | 267 | 2.4% | |
| u | 261 | 2.4% | |
| m | 212 | 1.9% | |
| p | 191 | 1.7% | |
| g | 180 | 1.6% | |
| v | 160 | 1.5% | |
| f | 147 | 1.3% | |
| w | 92 | 0.8% | |
| k | 79 | 0.7% | |
| x | 75 | 0.7% | |
| b | 50 | 0.5% | |
| z | 9 | 0.1% | |
| q | 6 | 0.1% |
Most frequent Space Separator characters
| Value | Count | Frequency (%) | |
| 1327 | 100.0% |
Most frequent Dash Punctuation characters
| Value | Count | Frequency (%) | |
| - | 10 | 100.0% |
Most frequent Other Punctuation characters
| Value | Count | Frequency (%) | |
| . | 126 | 48.5% | |
| , | 92 | 35.4% | |
| & | 39 | 15.0% | |
| ' | 3 | 1.2% |
Most frequent Decimal Number characters
| Value | Count | Frequency (%) | |
| 2 | 4 | 28.6% | |
| 1 | 3 | 21.4% | |
| 4 | 3 | 21.4% | |
| 5 | 3 | 21.4% | |
| 3 | 1 | 7.1% |
Most frequent Open Punctuation characters
| Value | Count | Frequency (%) | |
| ( | 1 | 100.0% |
Most frequent Close Punctuation characters
| Value | Count | Frequency (%) | |
| ) | 1 | 100.0% |
Most frequent Modifier Symbol characters
| Value | Count | Frequency (%) | |
| ` | 1 | 100.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 13743 | 89.5% | |
| Common | 1614 | 10.5% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| e | 1248 | 9.1% | |
| n | 1094 | 8.0% | |
| o | 1041 | 7.6% | |
| i | 991 | 7.2% | |
| a | 950 | 6.9% | |
| t | 945 | 6.9% | |
| r | 764 | 5.6% | |
| s | 620 | 4.5% | |
| l | 619 | 4.5% | |
| c | 426 | 3.1% | |
| C | 413 | 3.0% | |
| h | 279 | 2.0% | |
| d | 274 | 2.0% | |
| y | 267 | 1.9% | |
| u | 261 | 1.9% | |
| S | 230 | 1.7% | |
| m | 212 | 1.5% | |
| I | 192 | 1.4% | |
| p | 191 | 1.4% | |
| g | 180 | 1.3% | |
| M | 180 | 1.3% | |
| U | 169 | 1.2% | |
| T | 167 | 1.2% | |
| v | 160 | 1.2% | |
| A | 158 | 1.1% | |
| Other values (27) | 1712 | 12.5% |
Most frequent Common characters
| Value | Count | Frequency (%) | |
| 1327 | 82.2% | ||
| . | 126 | 7.8% | |
| , | 92 | 5.7% | |
| & | 39 | 2.4% | |
| - | 10 | 0.6% | |
| 2 | 4 | 0.2% | |
| ' | 3 | 0.2% | |
| 1 | 3 | 0.2% | |
| 4 | 3 | 0.2% | |
| 5 | 3 | 0.2% | |
| 3 | 1 | 0.1% | |
| ( | 1 | 0.1% | |
| ) | 1 | 0.1% | |
| ` | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 15357 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| 1327 | 8.6% | ||
| e | 1248 | 8.1% | |
| n | 1094 | 7.1% | |
| o | 1041 | 6.8% | |
| i | 991 | 6.5% | |
| a | 950 | 6.2% | |
| t | 945 | 6.2% | |
| r | 764 | 5.0% | |
| s | 620 | 4.0% | |
| l | 619 | 4.0% | |
| c | 426 | 2.8% | |
| C | 413 | 2.7% | |
| h | 279 | 1.8% | |
| d | 274 | 1.8% | |
| y | 267 | 1.7% | |
| u | 261 | 1.7% | |
| S | 230 | 1.5% | |
| m | 212 | 1.4% | |
| I | 192 | 1.3% | |
| p | 191 | 1.2% | |
| g | 180 | 1.2% | |
| M | 180 | 1.2% | |
| U | 169 | 1.1% | |
| T | 167 | 1.1% | |
| v | 160 | 1.0% | |
| Other values (41) | 2157 | 14.0% |
State
Categorical
| Distinct count | 44 |
|---|---|
| Unique (%) | 4.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| CA | |
|---|---|
| TX | 89 |
| NY | 80 |
| IL | 73 |
| FL | 68 |
| Other values (39) |
| Value | Count | Frequency (%) | |
| CA | 126 | 13.5% | |
| TX | 89 | 9.6% | |
| NY | 80 | 8.6% | |
| IL | 73 | 7.8% | |
| FL | 68 | 7.3% | |
| PA | 56 | 6.0% | |
| VA | 55 | 5.9% | |
| MD | 48 | 5.2% | |
| DC | 46 | 4.9% | |
| IN | 33 | 3.5% | |
| MI | 33 | 3.5% | |
| AR | 26 | 2.8% | |
| NJ | 24 | 2.6% | |
| MA | 22 | 2.4% | |
| AZ | 17 | 1.8% | |
| OH | 16 | 1.7% | |
| WA | 12 | 1.3% | |
| CO | 11 | 1.2% | |
| WI | 9 | 1.0% | |
| NC | 8 | 0.9% | |
| TN | 8 | 0.9% | |
| MO | 8 | 0.9% | |
| GA | 8 | 0.9% | |
| OR | 5 | 0.5% | |
| IA | 5 | 0.5% | |
| Other values (19) | 44 | 4.7% |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Most occurring characters
| Value | Count | Frequency (%) | |
| A | 337 | 18.1% | |
| C | 197 | 10.6% | |
| N | 162 | 8.7% | |
| I | 157 | 8.4% | |
| L | 149 | 8.0% | |
| M | 119 | 6.4% | |
| T | 108 | 5.8% | |
| D | 97 | 5.2% | |
| X | 89 | 4.8% | |
| Y | 82 | 4.4% | |
| F | 68 | 3.7% | |
| P | 57 | 3.1% | |
| V | 56 | 3.0% | |
| O | 42 | 2.3% | |
| R | 33 | 1.8% | |
| J | 24 | 1.3% | |
| W | 22 | 1.2% | |
| Z | 17 | 0.9% | |
| H | 16 | 0.9% | |
| G | 8 | 0.4% | |
| K | 6 | 0.3% | |
| U | 5 | 0.3% | |
| E | 5 | 0.3% | |
| S | 2 | 0.1% | |
| e | 1 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Uppercase Letter | 1858 | 99.9% | |
| Lowercase Letter | 2 | 0.1% |
Most frequent Uppercase Letter characters
| Value | Count | Frequency (%) | |
| A | 337 | 18.1% | |
| C | 197 | 10.6% | |
| N | 162 | 8.7% | |
| I | 157 | 8.4% | |
| L | 149 | 8.0% | |
| M | 119 | 6.4% | |
| T | 108 | 5.8% | |
| D | 97 | 5.2% | |
| X | 89 | 4.8% | |
| Y | 82 | 4.4% | |
| F | 68 | 3.7% | |
| P | 57 | 3.1% | |
| V | 56 | 3.0% | |
| O | 42 | 2.3% | |
| R | 33 | 1.8% | |
| J | 24 | 1.3% | |
| W | 22 | 1.2% | |
| Z | 17 | 0.9% | |
| H | 16 | 0.9% | |
| G | 8 | 0.4% | |
| K | 6 | 0.3% | |
| U | 5 | 0.3% | |
| E | 5 | 0.3% | |
| S | 2 | 0.1% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| e | 1 | 50.0% | |
| s | 1 | 50.0% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 1860 | 100.0% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| A | 337 | 18.1% | |
| C | 197 | 10.6% | |
| N | 162 | 8.7% | |
| I | 157 | 8.4% | |
| L | 149 | 8.0% | |
| M | 119 | 6.4% | |
| T | 108 | 5.8% | |
| D | 97 | 5.2% | |
| X | 89 | 4.8% | |
| Y | 82 | 4.4% | |
| F | 68 | 3.7% | |
| P | 57 | 3.1% | |
| V | 56 | 3.0% | |
| O | 42 | 2.3% | |
| R | 33 | 1.8% | |
| J | 24 | 1.3% | |
| W | 22 | 1.2% | |
| Z | 17 | 0.9% | |
| H | 16 | 0.9% | |
| G | 8 | 0.4% | |
| K | 6 | 0.3% | |
| U | 5 | 0.3% | |
| E | 5 | 0.3% | |
| S | 2 | 0.1% | |
| e | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 1860 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| A | 337 | 18.1% | |
| C | 197 | 10.6% | |
| N | 162 | 8.7% | |
| I | 157 | 8.4% | |
| L | 149 | 8.0% | |
| M | 119 | 6.4% | |
| T | 108 | 5.8% | |
| D | 97 | 5.2% | |
| X | 89 | 4.8% | |
| Y | 82 | 4.4% | |
| F | 68 | 3.7% | |
| P | 57 | 3.1% | |
| V | 56 | 3.0% | |
| O | 42 | 2.3% | |
| R | 33 | 1.8% | |
| J | 24 | 1.3% | |
| W | 22 | 1.2% | |
| Z | 17 | 0.9% | |
| H | 16 | 0.9% | |
| G | 8 | 0.4% | |
| K | 6 | 0.3% | |
| U | 5 | 0.3% | |
| E | 5 | 0.3% | |
| S | 2 | 0.1% | |
| e | 1 | 0.1% |
Age of company
Real number (ℝ)
| Distinct count | 129 |
|---|---|
| Unique (%) | 13.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 43.78817204301075 |
|---|---|
| Minimum | -1 |
| Maximum | 395 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 8 |
| median | 29 |
| Q3 | 62 |
| 95-th percentile | 149 |
| Maximum | 395 |
| Range | 396 |
| Interquartile range (IQR) | 54 |
Descriptive statistics
| Standard deviation | 48.41928987 |
|---|---|
| Coefficient of variation (CV) | 1.105761844 |
| Kurtosis | 5.907603074 |
| Mean | 43.78817204 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 1.895508597 |
| Sum | 40723 |
| Variance | 2344.427632 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| -1 | 176 | 18.9% | |
| 21 | 37 | 4.0% | |
| 106 | 34 | 3.7% | |
| 15 | 34 | 3.7% | |
| 40 | 30 | 3.2% | |
| 52 | 30 | 3.2% | |
| 35 | 30 | 3.2% | |
| 79 | 30 | 3.2% | |
| 53 | 28 | 3.0% | |
| 4 | 28 | 3.0% | |
| 87 | 28 | 3.0% | |
| 149 | 27 | 2.9% | |
| 11 | 15 | 1.6% | |
| 8 | 15 | 1.6% | |
| 16 | 14 | 1.5% | |
| 23 | 12 | 1.3% | |
| 20 | 11 | 1.2% | |
| 38 | 10 | 1.1% | |
| 19 | 10 | 1.1% | |
| 25 | 10 | 1.1% | |
| 24 | 10 | 1.1% | |
| 9 | 9 | 1.0% | |
| 17 | 9 | 1.0% | |
| 34 | 8 | 0.9% | |
| 37 | 8 | 0.9% | |
| Other values (104) | 277 | 29.8% |
| Value | Count | Frequency (%) | |
| -1 | 176 | 18.9% | |
| 1 | 1 | 0.1% | |
| 3 | 3 | 0.3% | |
| 4 | 28 | 3.0% | |
| 5 | 6 | 0.6% | |
| 6 | 5 | 0.5% | |
| 7 | 5 | 0.5% | |
| 8 | 15 | 1.6% | |
| 9 | 9 | 1.0% | |
| 10 | 3 | 0.3% |
| Value | Count | Frequency (%) | |
| 395 | 1 | 0.1% | |
| 338 | 1 | 0.1% | |
| 280 | 2 | 0.2% | |
| 254 | 1 | 0.1% | |
| 231 | 1 | 0.1% | |
| 221 | 1 | 0.1% | |
| 202 | 2 | 0.2% | |
| 189 | 1 | 0.1% | |
| 176 | 1 | 0.1% | |
| 174 | 2 | 0.2% |
python_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 |
| Value | Count | Frequency (%) | |
| 0 | 650 | 69.9% | |
| 1 | 280 | 30.1% |
sql_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 1 | |
|---|---|
| 0 |
| Value | Count | Frequency (%) | |
| 1 | 489 | 52.6% | |
| 0 | 441 | 47.4% |
aws_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 | 127 |
| Value | Count | Frequency (%) | |
| 0 | 803 | 86.3% | |
| 1 | 127 | 13.7% |
spark_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 | 72 |
| Value | Count | Frequency (%) | |
| 0 | 858 | 92.3% | |
| 1 | 72 | 7.7% |
tableau_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 |
| Value | Count | Frequency (%) | |
| 0 | 725 | 78.0% | |
| 1 | 205 | 22.0% |
excel_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 1 | |
|---|---|
| 0 |
| Value | Count | Frequency (%) | |
| 1 | 633 | 68.1% | |
| 0 | 297 | 31.9% |
r_studio_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 | 74 |
| Value | Count | Frequency (%) | |
| 0 | 856 | 92.0% | |
| 1 | 74 | 8.0% |
power_bi_y
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| 0 | |
|---|---|
| 1 | 134 |
| Value | Count | Frequency (%) | |
| 0 | 796 | 85.6% | |
| 1 | 134 | 14.4% |
desc_len
Real number (ℝ≥0)
| Distinct count | 429 |
|---|---|
| Unique (%) | 46.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3689.2473118279568 |
|---|---|
| Minimum | 64 |
| Maximum | 11186 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.4 KiB |
Quantile statistics
| Minimum | 64 |
|---|---|
| 5-th percentile | 849 |
| Q1 | 2425 |
| median | 3471 |
| Q3 | 4394 |
| 95-th percentile | 7016 |
| Maximum | 11186 |
| Range | 11122 |
| Interquartile range (IQR) | 1969 |
Descriptive statistics
| Standard deviation | 1988.818038 |
|---|---|
| Coefficient of variation (CV) | 0.5390850408 |
| Kurtosis | 0.7558873365 |
| Mean | 3689.247312 |
| Median Absolute Deviation (MAD) | 1012 |
| Skewness | 0.827626534 |
| Sum | 3431000 |
| Variance | 3955397.187 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 3546 | 28 | 3.0% | |
| 2336 | 28 | 3.0% | |
| 2644 | 28 | 3.0% | |
| 4394 | 28 | 3.0% | |
| 9139 | 27 | 2.9% | |
| 4327 | 27 | 2.9% | |
| 6872 | 27 | 2.9% | |
| 1937 | 27 | 2.9% | |
| 3494 | 27 | 2.9% | |
| 165 | 26 | 2.8% | |
| 849 | 26 | 2.8% | |
| 7016 | 26 | 2.8% | |
| 6061 | 26 | 2.8% | |
| 2663 | 26 | 2.8% | |
| 2735 | 26 | 2.8% | |
| 2832 | 4 | 0.4% | |
| 3700 | 3 | 0.3% | |
| 3301 | 3 | 0.3% | |
| 3904 | 3 | 0.3% | |
| 4177 | 3 | 0.3% | |
| 2872 | 3 | 0.3% | |
| 3910 | 3 | 0.3% | |
| 579 | 3 | 0.3% | |
| 3015 | 3 | 0.3% | |
| 1597 | 3 | 0.3% | |
| Other values (404) | 496 | 53.3% |
| Value | Count | Frequency (%) | |
| 64 | 2 | 0.2% | |
| 165 | 26 | 2.8% | |
| 234 | 1 | 0.1% | |
| 252 | 1 | 0.1% | |
| 416 | 1 | 0.1% | |
| 579 | 3 | 0.3% | |
| 608 | 1 | 0.1% | |
| 638 | 1 | 0.1% | |
| 677 | 1 | 0.1% | |
| 708 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 11186 | 1 | 0.1% | |
| 10337 | 1 | 0.1% | |
| 10170 | 1 | 0.1% | |
| 10021 | 1 | 0.1% | |
| 9139 | 27 | 2.9% | |
| 8801 | 2 | 0.2% | |
| 8511 | 1 | 0.1% | |
| 8475 | 1 | 0.1% | |
| 8088 | 1 | 0.1% | |
| 7558 | 2 | 0.2% |
seniority
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.4 KiB |
| na | |
|---|---|
| senior | 43 |
| junior | 2 |
| Value | Count | Frequency (%) | |
| na | 885 | 95.2% | |
| senior | 43 | 4.6% | |
| junior | 2 | 0.2% |
Length
| Max length | 6 |
|---|---|
| Median length | 2 |
| Mean length | 2.193548387 |
| Min length | 2 |
Most occurring characters
| Value | Count | Frequency (%) | |
| n | 930 | 45.6% | |
| a | 885 | 43.4% | |
| i | 45 | 2.2% | |
| o | 45 | 2.2% | |
| r | 45 | 2.2% | |
| s | 43 | 2.1% | |
| e | 43 | 2.1% | |
| j | 2 | 0.1% | |
| u | 2 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) | |
| Lowercase Letter | 2040 | 100.0% |
Most frequent Lowercase Letter characters
| Value | Count | Frequency (%) | |
| n | 930 | 45.6% | |
| a | 885 | 43.4% | |
| i | 45 | 2.2% | |
| o | 45 | 2.2% | |
| r | 45 | 2.2% | |
| s | 43 | 2.1% | |
| e | 43 | 2.1% | |
| j | 2 | 0.1% | |
| u | 2 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) | |
| Latin | 2040 | 100.0% |
Most frequent Latin characters
| Value | Count | Frequency (%) | |
| n | 930 | 45.6% | |
| a | 885 | 43.4% | |
| i | 45 | 2.2% | |
| o | 45 | 2.2% | |
| r | 45 | 2.2% | |
| s | 43 | 2.1% | |
| e | 43 | 2.1% | |
| j | 2 | 0.1% | |
| u | 2 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) | |
| ASCII | 2040 | 100.0% |
Most frequent ASCII characters
| Value | Count | Frequency (%) | |
| n | 930 | 45.6% | |
| a | 885 | 43.4% | |
| i | 45 | 2.2% | |
| o | 45 | 2.2% | |
| r | 45 | 2.2% | |
| s | 43 | 2.1% | |
| e | 43 | 2.1% | |
| j | 2 | 0.1% | |
| u | 2 | 0.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| df_index | Job Title | Salary Estimate | Job Description | Rating | Company Name | Location | Headquarters | Size | Founded | Type of ownership | Industry | Sector | Revenue | Competitors | hourly | min_salary | max_salary | avg_salary | Company_name_text | State | Age of company | python_y | sql_y | aws_y | spark_y | tableau_y | excel_y | r_studio_y | power_bi_y | desc_len | seniority | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Data Analyst | $42K-$75K (Glassdoor est.) | DEPARTMENT: Analytics\nPOSITION SUMMARY\nNewDay USA is a leading nationwide lender focusing on providing financial solutions to American families. Our analytics team is currently seeking a data analyst to join our team on a full-time basis.\nPOSITION DUTIES AND RESPONSIBILITIES\nAnalyzing business data\nSummarizing different analysis results and presenting findings\nConducting business studies on demand\nManaging existing reporting services as well as creating and automating ad-hoc reports\nOperating enterprise-specific software\nTroubleshooting regular dataflow functions\nRunning and optimizing day-to-day business functions\nManaging projects and business accounts\nPOSITION QUALIFICATIONS\nEducation/Certification:\nBachelor’s Degree in mathematics, statistics, or related fields\nExperience:\nStrong analytical, business and problem solving skills\nExperience with MS Office products\nExpertise in MS Excel\nAttention to detail\nEfficient organizational skills and demonstrated follow-through on deliverables\nStrong interpersonal, verbal and written communication skills\nPrior operations experience within a financial firm is a plus\nExperience with MS SQL Server database and/or the SQL language is a plus\n\nOur Values:\nShip, Shipmate, Self\nTraining for a Career\nWorld-Class Service\nProviding Opportunity\nIntegrity\nResilience\nGiving Back\nOur Diversity:\nWe aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals. It is the policy of NewDay USA to ensure equal employment opportunity without discrimination on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.\nBenefits:\nHealth Insurance\n401K\nCompetitive Salary\nUncapped Bonuses\nProfit Sharing | 3.9 | NewDay USA\n3.9 | Fulton, MD | -1 | 501 to 1000 Employees | 1999 | Company - Private | Lending | Finance | Unknown / Non-Applicable | -1 | 0 | 42000 | 75000 | 58500.0 | NewDay USA | MD | 21 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2032 | na |
| 1 | 1 | Market Data Analyst | $59K-$104K (Glassdoor est.) | Thursday, October 22, 2020\n\nMarket Support Services analysts work across the organization to analyze changes to the New England energy markets, develop requirements for software systems to administer the markets, provide feedback on technical software designs, and perform software testing.\n\nHow You Will Make an Impact\nParticipate in discussions with internal stakeholders during formation and/or modification of Market Rules that affect the business processes of supported business groups.\nEnsure quality software solutions are delivered by developing and reviewing business requirements and performing software testing.\nWork with business units to understand stakeholder needs.\nComplete development of calculation verification tools for Settlements software solutions.\nWork with business groups to identify improvements to business processes.\nAct as a liaison between business stakeholders and software development teams.\nProvide business analysis on multiple projects of varying duration, size, and complexity\nWhat we are looking for\nBachelor’s Degree in Mathematics, Electrical Engineering, Computer Science or Information Systems, Business Administration or other applicable discipline. Master’s Degree preferred for Senior Analyst and up\nStrong Microsoft Excel skills with experience in building and\or updating macros using VBA\nKnowledge of SQL and SAS\nStrong communication and collaboration skills\nDetail-oriented with strong organizations skills\nAbility to work in a team and individually\nAbility to uncover, understand and translate business needs into business requirements\nKnowledge of Agile methodology, Scrum framework a plus\nFamiliarity with Confluence and/or Jira a plus\n\nISO New England oversees the 24/7 operation of the power grid that covers the six-states of New England and administers the region’s $10+ billion “stock exchange” for the buying and selling of wholesale electricity. The power system is constantly evolving as new technologies emerge and energy policies evolve. There is a lot going on at our organization behind the scenes to make sure the grid continuously yields reliable electricity at competitive prices while addressing the unique challenges that come along with our industry.\n\nWhat We Offer: ISO New England is located in Holyoke, MA. The company provides a base salary plus bonus, competitive Medical and Dental plan, paid vacation, 401k with company match, retirement plan and more. All benefits start on your first day.\n\nEqual Opportunity\n\nWe are proud to be an EEO/AA employer. Applicants for employment are considered without regard to race, creed, color, citizenship, religion, sex, sexual orientation, marital status, national origin, age, disability, status as a veteran, Vietnam Era Veteran, or being a member of the Reserves or National Guard.\n\nDrug Free Environment\n\nWe maintain a drug-free workplace and perform pre-employment substance abuse testing.\n\nSocial Networking Notice\nISO New England reserves the right to review the candidate's postings on any social networking site accessible in the public domain as part of the candidate assessment process.\n\nCareer Opportunities at ISO New England\n\nOther details\nPay Type\nSalary | 3.8 | ISO New England\n3.8 | Holyoke, MA | -1 | 501 to 1000 Employees | 1997 | Nonprofit Organization | Utilities | Oil, Gas, Energy & Utilities | Unknown / Non-Applicable | -1 | 0 | 59000 | 104000 | 81500.0 | ISO New England | MA | 23 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3183 | na |
| 2 | 2 | Senior Data Analyst | $83K-$141K (Glassdoor est.) | Do you want to innovate customer experiences and make business decisions smarter through data? Are you ready to join a collaborative and motivated team diving into cutting edge big data technology? As an Senior Data Analyst on the Single View of the Customer (SVOC) team, you’ll thrive in a fast-paced innovative culture that turns data into information, and uses that information to drive action. You will have the opportunity to interact with all our SVOC scrum teams, ensuring that we are incorporating new technologies seamlessly, all while providing value to our customers. This opportunity also allows you to dive in to complex technologies, and work with a very forward-thinking group of peers!\n\nFamiliar, but never leveraged big data technologies? No worries! When you first join our SVOC team, you will have the opportunity to come up to speed on the cutting-edge technologies we use to develop SVOC!\n\nBasic Qualifications:\n\no Significant experience in facilitating the discovery process with functional stakeholders to identify requirements and expected outcomes.\no Experience in developing test plans and scenarios to ensure the highest quality deliverables\no Strong SQL, data mapping, and data profiling skills\no Working knowledge of Big Data and the Hadoop Ecosystem\no Outstanding time management skills and attention to detail\no Excellent verbal/written communication skills, including communicating technical issues to non-technical audiences\no Strong presentation skills. Should be comfortable with presenting to all levels of management\no A Bachelor's degree in Information Technology, related field (business, finance, mathematics, computer science), or equivalent professional experience is required\n\nPreferred Qualifications:\n\no Understanding and experience with Web Services and APIs\no Experience in querying NoSQL databases\no Knowledge and experience working in an Agile environment\no Exposure to QLIK or other data visualization tools\no Experience with providing Production Support\n\nNote: The safety of our associates, both current and future, is GEICO’s highest priority. At this time, most of our associates are working remotely due to the current COVID-19 pandemic. Candidates who are selected for this position will be trained remotely and must be able to work from home in a designated work area. Once GEICO determines it is safe for associates to return to the office, candidates may be required to work in our Chevy Chase, MD office.\n\nQualifications\n\nAbout GEICO:\n\nFor more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.\n\nAs a full-time Senior Data Analyst, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:\n\n• Premier Medical, Dental and Vision Insurance with no waiting period**\n• Paid Vacation, Sick and Parental Leave\n• 401(k) Plan with Profit Sharing\n• Tuition Reimbursement\n• Paid Training and Licensures\nBenefits may be different by location. Benefit eligibility requirements vary and may include length of service.\n*Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. | 3.4 | GEICO\n3.4 | Chevy Chase, MD | -1 | 10000+ Employees | 1936 | Subsidiary or Business Segment | Insurance Carriers | Insurance | $10+ billion (USD) | -1 | 0 | 83000 | 141000 | 112000.0 | GEICO | MD | 84 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3587 | senior |
| 3 | 3 | Data Analyst | $50K-$88K (Glassdoor est.) | Rational is growing, and we need amazing talent to join our team. If you have an entrepreneurial attitude with a deep spirit of service and killer subject expertise, we want to talk to you. We are always looking for the next great consultant to raise the bar and push Rational to be better than we were yesterday. Staying hungry, curious, and looking forward to what’s next is part of our DNA.\n\nThis Data Analyst will be part of Rational's Technology & Data Practice and supporting one of our large biotech projects. This individual will provide strategic and tactical consultation, leadership in delivering solutions, and oversight of processes and systems. The position requires solid technical foundation, domain knowledge, as well as strong verbal and written communication skills with a proven ability to clearly communicate technical information to a non-technical audience.\n\nThis is a full time position within Rational's Technology Practice. This position is not available for Visa sponsorship or C2C work.\n\nWhat you will do:\nServe as the Business Analyst subject matter expert supporting, but not limited to Commercial portfolio\nNetwork with a new and evolving IT environment, business team, and vendors to foster strong relationships and build partnerships\nUnderstand strategy and how it translates to executable programs, projects, and efforts that align with strategic goals while taking the environmental constraints and opportunities into account\nCollaborate with cross-functional professionals to deliver high-quality and innovative solutions that meet the business needs and create new opportunities\nProvide analytic support of various levels of complexity including large, multi-year, cross-functional efforts with internal and external influencing factors\nNegotiate conflicts and complex issues to an expeditious and satisfactory resolution\nWhat you will bring:\n3+ years of exposure to the orchestrating technology solutions for technical and/or Biotechnology or Pharmaceutical organizations\n3+ years of experience in the Business Analysis or equivalent role with solution delivery and process improvement supporting cross-functional implementation of IT solutions in the Biotechnology or Pharmaceutical industry\n3+ years of experience in organization financials, financial reporting\nFamiliarity with applications used in the business area such as Salesforce and Veeva\nWorking experience in SQL Server and Snowflake (preferred, but not required)\nProven knowledge of IT solutions and application management through various product cycles and evolving work environments\nDemonstrated technical understanding of application architecture to include application servers, web servers, configuration files, relational databases, and reporting applications\nAbility to proactively plan, organize, deliver with limited oversight, prioritize, and quickly adapt to changing situations\nExcellent communication skills, including the ability to interface and influence internal and external partners at multiple organization levels\nStrong interpersonal and negotiation skills, with a high degree of self-motivation and ability to work independently\nProficient in essential tools such as Power BI, Smartsheets, PowerPoint, Visio, etc.\nWho you are:\nData Lover. You know your numbers and value the metrics behind the buyer story.\nCollaborative to the Core. Demonstrated ability to work in a team environment, as a leader and member.\nWell-rounded Professional. You have amazing communication and organizational skills along with high EQ.\nProactive. You are always thinking ahead about what is best for the Client.\nAdaptable. Change happens at lightning speed; you are flexible, enjoy challenge, and get behind new ideas\nRational is a customer experience (CX) solutions firm that pairs the capabilities of a strategic consultancy with the creativity of a full-service digital agency. We design and activate compelling experiences that create strong connections between people and brands. We put humans at the center of business and partner with our clients to deliver meaningful experiences that help their customers while driving business success. Customer satisfaction at every level is our ultimate metric, and it's what drives our mindset, skillset, and company culture.\n\nIncredible people are our non-negotiable. Our experienced team of consultants spans the globe. We love what we do, and who we do it with – let’s begin our next chapter together.\n\nRational is committed to ensuring all candidates have an equal opportunity to be considered for employment. Please let us know if you need any reasonable accommodation to participate in the job application or interview process. | 2.7 | Rational\n2.7 | Redmond, WA | -1 | 201 to 500 Employees | 2009 | Company - Public | Consulting | Business Services | Unknown / Non-Applicable | -1 | 0 | 50000 | 88000 | 69000.0 | Rational | WA | 11 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 4680 | na |
| 4 | 4 | Web Data Analyst | $65K-$79K (Employer est.) | Web Data Analyst\nCorporate Headquarters\n12575 Uline Drive, Pleasant Prairie, WI 53158\n\nOur customer promise is worth bragging about. Use your marketing and advertising expertise to spread the word and grow our business.\n\nBetter together than apart. This position is on-site, and we are looking for good people who share our passion.\n\nUline is proud to operate as a drug-free workplace. All new hires must complete a pre-employment drug screening.\n\nPosition Responsibilities\nCollect web data and statistics for Uline’s various eCommerce websites (Uline.com, Uline.ca and Uline.mx).\nAnalyze data and provide weekly and monthly reports to management.\nMake recommendations to improve website and reduce return rates.\nTranslate complex and analytical work into easy to understand data points.\nRespond to ad hoc reporting requests and maintain relationships with various departments.\n\nMinimum Requirements\nBachelor's degree.\nExperience using Google Analytics or Adobe Analytics.\nExperience using a data visualization tool such as Power BI or Tableau.\n2+ years experience in website analysis.\nProficient in Microsoft Excel with some knowledge of SQL and / or Google BigQuery.\nWell organized and detail-oriented with an ability to multitask.\nStrong analytical and problem-solving skills.\n\nBenefits\nComplete insurance coverage that includes medical, dental, vision and life insurance, Flexible Spending Accounts and wellness programs.\n401(k) with 5% employer match.\nPaid holidays and generous paid time off.\nBonus programs that include annual performance, sales goals and profit sharing.\nScholarship program for children of employees.\n\nEmployee Perks\nOn-site café with executive chefs and seasonal dinner-to-go options.\nFirst-class fitness center with complimentary personal trainers.\nOver four miles of beautifully maintained walking trails.\nNumerous employee appreciation events throughout the year.\nProfessional development classes and monthly in-house speakers.\n\nAbout Uline\n\nUline is the leading distributor of shipping, industrial and packaging materials to businesses throughout North America. We're a family-owned company whose incredible service, huge inventory and quality products fuel our ongoing expansion and growth. We offer same-day shipping on over 37,500 products in our 812-page catalog and on our state-of-the-art e-commerce website.\n\nUline provides the essential supplies needed to keep organizations operational and productive. To protect the health and safety of our employees, we have modified our normal operating policies in response to COVID-19.\n\nEach resume submitted gets individually reviewed by our team and retained for 24 months in case a great opportunity opens for you to join our Uline family.\n\nEEO/AA Employer/Vet/Disabled\n\n#LI-SR1\n#CORP | 3.5 | Uline\n3.5 | Milwaukee, WI | -1 | 5001 to 10000 Employees | 1980 | Company - Private | Wholesale | Business Services | Unknown / Non-Applicable | -1 | 0 | 65000 | 79000 | 72000.0 | Uline | WI | 40 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2765 | na |
| 5 | 6 | Marketing Data Analyst | $34K-$62K (Glassdoor est.) | Can you work in a relationship with other people where it requires ongoing flexibility?\nDo you have an upbeat, positive attitude?\nDo you take pride in knowing you are helping to make things happen?\nIf you can answer yes to these questions, Idaho Central Credit Union may have an opportunity ideally suited for you.\nAs a Marketing Data Analyst, your primary function is to interpret credit union data, analyze results and implement decisions based on the data. You will be responsible for turning data into information and insight that aids in campaign and business decisions. Also you will be responsible for performing a range of functions in support of market research, market assessment and campaign implementation.\n\nAssist in managing technical aspects of key marketing systems (marketing automation, CRM, data warehouse) used to generate, distribute, and report.\nEstablish and maintain scalable processes that ensure best practices in campaign and lead management.\nCreate and maintain metrics reports on marketing and sales activities, effectiveness, and business impact.\nAnalyze marketing and sales data to develop insights and make recommendations on areas for optimization\nMonitor and maintain data quality within the marketing database.\nEvaluate new technologies and add-on applications to improve and optimize marketing team performance.\nManage membership targeting to strengthen relationships, prevent attrition, and increase profitability.\nLeverage web and email engagement to create member insight and data to help improve individual experiences with our digital channels.\nGenerate and govern segmentation efforts by developing queries and custom reports, target groups, and campaigns for product and service performance.\nTrack all marketing campaigns and provide meaningful analysis and insight for future efforts.\nAnalyze consumer segments and other demographic information from the membership database to provide insight for product development, usage, and cross-sell opportunities.\nManage third-party vendor integration with marketing systems including Salesforce Marketing Cloud, Salesforce Advertising Studio, Salesforce CRM, Adobe Analytics, Integrator MCIF, Encompass CRM and Microsoft Power BI.\nRepresent the Credit Union at community events as needed.\n\nBachelor’s Degree in Marketing, Mass Communication, Advertising or related field. 5-9 years of experience with database marketing required. Preferable experience with: Raddon Integrator MCIF, Salesforce Marketing Cloud, Salesforce Advertising Studio, Salesforce CRM, Adobe Analytics, Microsoft Power BI, SQL, and data warehouse experience. Strong analytical skills. Proficiency in marketing automation systems and integrating those systems with other technologies. Technically capable, excellent communicator and a desire to improve processes. Math skills, Secondary-level computer knowledge including Microsoft Office, especially Excel and pivot tables, etc. Ability to maintain the confidentiality of Credit Union and member records at all times. A demonstrated cooperative and positive attitude toward members and other Credit Union staff. Professional in appearance, attendance, quality, and quantity of work performed. Ability to analyze member needs, develop, and coordinate marketing activities to fit member needs with Credit Union products and services. Must be willing to comply with the Bank Secrecy Act and USA Patriot Act as implemented by Idaho Central Credit Union. Team member will be asked to work extended/unique hours.\nPerform tasks requiring manual dexterity (processing paperwork, filing, stapling, sorting, collating, typing, counting cash, etc.) Sit for extended periods of time. Lift 20-40 pounds of office supplies (copy paper, computer paper, mail, etc). Some heavy lifting may be required in order to execute proper event logistics. Repetitive motion using wrists, hands, and fingers. Reach keyboards. Ability to operate basic office machines (calculator, computer, telephone, copy machine, fax machine, etc).\nMust be eligible for membership at Idaho Central Credit Union to obtain employment.\nEOE/Minorities/Females/Vet/Disability\nIdaho Central Credit Union is a dynamic financial institution that is focused on helping our members achieve financial success. Established in 1940 we have become the largest and fastest growing financial institution in the state of Idaho. ICCU was voted for large companies the Best Place to work in Idaho. We have also been named by S&P Global Market Intelligence as the top performing credit union in the nation. We are a talent based organization looking for talented individuals to help our members achieve financial success. | 4.2 | Idaho Central Credit Union\n4.2 | Chubbuck, ID | -1 | 1001 to 5000 Employees | 1940 | Nonprofit Organization | Banks & Credit Unions | Finance | $50 to $100 million (USD) | -1 | 0 | 34000 | 62000 | 48000.0 | Idaho Central Credit Union | ID | 80 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 4665 | na |
| 6 | 7 | Data Quality Analyst | $28K-$35K (Glassdoor est.) | The role of Data Quality Analyst is an integral role in our rapidly growing company. This is an excellent opportunity for intelligent, outgoing, and self-motivated persons seeking rapid professional development and acquisition of new business skills. Your primary responsibilities will be working closely with internal and external users to maintain the quality of VIP’s master retailer database and aligning customer sales data to that retailer universe. As this data is central to the operation of our clients’ businesses, you will need to bring a high level of attention to detail and willingness to find solutions to problems in a systematic and efficient way. Ideal candidates for this entry level position will understand the importance of building and maintaining relationships with our customers. Successful candidates must also work well both individually as well as part of a team to accomplish shared goals.\n\nRequirements:\nHistory of solid employment\nStrong analytical and reasoning skills to assess and implement information from multiple resources\nClear communication skills\nSelf-organization to meet daily, weekly and monthly responsibilities, both to the company and the customer\nStrong computer skills and knowledge of working with spreadsheets (Excel)\nCollege preferred but not required\n\nAll full time job offers are contingent upon passing a pre-employment drug screening and background check.\nLOCAL APPLICANTS ONLY | 3.7 | Vermont Information Processing\n3.7 | Colchester, VT | -1 | 201 to 500 Employees | 1972 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | -1 | 0 | 28000 | 35000 | 31500.0 | Vermont Information Processing | VT | 48 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1433 | na |
| 7 | 8 | Data Analyst II | $53K-$91K (Glassdoor est.) | Who is Cenlar?\n\nYou are.\n\nEmployee-owners have made Cenlar one of the nation’s largest mortgage subservicers. We have achieved success by empowering people with company ownership, real programs that provide avenues for advancement, and a great atmosphere that makes everyone look forward to the workday. Get your share of our success by considering the opportunity to join our team as a Data Analyst II.\n\nJob Summary:\n\nResponsible for working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes. Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis; which may include utilizing statistical models/algorithms and data visualization techniques. Incumbents in this role may often be referred to as Data Scientists.\n\nResponsibilities:\nDay-to-day actions are focused on administering defined procedures, analysis and report preparation.\nCommands knowledge of data elements across the enterprise and industry – definitions, lineage and usage\nExecutes creation of tabular operational reports and aggregation reports with medium to high complexity.\nCommands intermediate to expert level t-SQL coding proficiency\nPerforms data mapping for systems integration, data provisioning, and data consumption\nResponsible for documenting metadata, data lineage, data definitions and business glossary entries.\nHandles basic data transformation tasks such as date and decimal formatting, rounding of numeric values, and conversion of numeric values to percentages.\nHas intermediate to expert level SSIS ETL build proficiency\nWorks with Data stewards to enforce adherence to standards for enhancements and new repositories.\nHandles more complicated report requests, data visualizations, forecasting, regression modeling, sequencing (e.g. Fibonacci or similar) and trend analysis.\nCan deduce portfolio or market trends from reports or chart analysis.\nUnderstands business logic for aggregation and analysis services.\nCan perform data transformation and can produce dimensional reports\nCan perform basic data profiling activities, understands cardinality\nHelps to define guidelines for data management, governance and reporting\nMay direct day-to-day work of employees, but will not typically have formal management role.\nIndividual at this level is expected to use some independence of thought but to refer more complex problems to supervisors or other experts.\nIndividual would be expected to contribute to work flow or process change and redesign and to form a strong basic understanding of the specific product or process.\nQualifications:\nTypically exhibits strong executional capabilities and is beginning to take on more responsibility.\nPrimary focus is on execution within defined parameters, with some expansion based on developing capabilities and or experiences. In partnership with more experienced staff.\nMinimum of 5 years of experience.\nBachelor’s degree in computer science, finance, mathematics, statistics (or similar) or equivalent work experience\nTotal Rewards:\n\nCenlar FSB offers outstanding benefits which may include paid medical/dental/life insurance, 401k, employee ownership, tuition assistance, a supportive work environment, and genuine opportunities for advancement. Cenlar is a Drug Free Workplace and an Equal Employment Opportunity/Affirmative Action Employer -- M/F/D/V/SO.\n\nVisit www.cenlar.com for more details.\n\nPlease apply online. | 2.5 | Cenlar\n2.5 | Ewing, NJ | -1 | 1001 to 5000 Employees | 1958 | Company - Private | -1 | -1 | $100 to $500 million (USD) | -1 | 0 | 53000 | 91000 | 72000.0 | Cenlar | NJ | 62 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3663 | na |
| 8 | 9 | Data Analyst | $38K-$75K (Glassdoor est.) | Big Huge Games is looking for a qualified Data Analyst to help provide data insights to our games teams and upcoming BHG titles to assist them in making successful strategic and game direction decisions. This role works closely with our Product and Design teams to structure quantitative questions, gather player data, employ statistical methodology in analysis of the data, and construct insightful reporting and visualizations to communicate those results to the wider team.\n\nResponsibilities\nProvide reports and monitoring tools to assist team in daily game health assessment\nPerform in-depth analysis of game metrics to inform and support both short and long-term product direction decisions\nCommunicate the results of analyses to the product team, game studio, and outside partners through data visualization and presentations\nQualifications\n3-5 years experience with querying large complex data sets with SQL on relational databases\nSeveral years experience performing quantitative analysis preferably with a games, web, or technology focus\nHigh level of proficiency in data visualization tools such as Tableau, Excel, or equivalent\nPassion for problem solving, from generating insightful questions to research, through presentation of results and follow-on steps\nTrack record of success working in fast-paced environments with shifting priorities and deadlines\nAbility to work in both individual and team settings\nExcellent organizational, communication, presentation, and interpersonal skills\nBachelor's degree in Mathematics, Statistics, Economics, Computer Science, or another quantitative field\nAbout Big Huge Games:\n\nBig Huge Games is a small, passionate team led by experienced game development veterans, proudly located just north of Baltimore, MD, who are excited about the rise of touchscreen platforms. We believe in hiring talented team members who enjoy working in a fun and positive environment.\n\nThe company was founded in March of 2013 by Brian Reynolds (Civilization II, Rise of Nations, FrontierVille) and a group of longtime collaborators. Big Huge Games is dedicated to "Finding The Fun" through rapid prototyping and a focus on great user experience.\n\nIn July 2015 we launched our first game, DomiNations, which was awarded “Editors Choice” in the app store and continues to be successful with audiences across the globe. In 2016 we were acquired by our publisher, Nexon, and now operate as a wholly-owned subsidiary, allowing us the stability of a larger studio but the feel of a smaller, indie game team.\n\nOur goals are simple: Make great games, strive to always be improving, and live up to the motto you gotta have fun to make fun.\n\nThis a full-time position onsite at our studio in Timonium, MD.\nDue to the circumstances surrounding COVID19 positions will begin remote before transitioning to onsite.\n\nApplicants should download DomiNations on iOS or Android and be prepared to discuss the game. | 4.9 | Big Huge Games\n4.9 | Timonium, MD | -1 | 51 to 200 Employees | 2013 | Subsidiary or Business Segment | Video Games | Media | Unknown / Non-Applicable | -1 | 0 | 38000 | 75000 | 56500.0 | Big Huge Games | MD | 7 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 2927 | na |
| 9 | 10 | Data Analyst II | $41K-$78K (Glassdoor est.) | We know why you are reading about this opportunity. You are driven to achieve goals. You are looking to make a direct impact. You want to work in a culture where your co-workers work as part of a diverse team, communicate across departments, and have a positive attitude. If we had to guess, you are innovative with great ideas, want to bring efficiencies to processes, and are looking to grow your career. Are we right? If so, let’s talk about who we are.\n\nWho We Are\n\nGreenphire is a leading provider of clinical payment and communication solutions. We provide software as a service (SaaS) to reduce costs, increase participant retention, and produce quantifiable results for our clients in the clinical trial industry. Our vibrant culture focuses on four key values: All In, As a Team, For a Purpose, Solving Problems.\n\nWe are a multi-year recipient of the Philadelphia Business Journal’s Best Places to Work award, and love to give shout-outs and awards to our employees. Our For A Purpose committee champions philanthropic activities throughout the year so employees can give back to our community. We have a diversity committee that focuses on breaking down barriers, recognizing that our uniqueness is what makes us so successful!\n\nTo Join Our Team\n\nYou must love numbers and manipulating large sets of data. You also must be analytical with experience extracting and uploading data into a system - paying special attention to detail and taking pride in accuracy. At the same time, you have to be able to excel in a fast-paced environment and love ever-changing and advancing work. If automating and making things efficient is your thing, look no further!\n\nHow You Will Contribute\nBuild internal relationships and deliver data science solutions to meet their needs\nExtract and manipulate large amounts of data using SQL, Excel and visualization analytics software\nPresent analytics and data visualizations for stakeholders, with actionable insights\nProvide ad hoc queries, and develop reports that provide insights and access to key performance metrics\nIntegrate data from multiple sources into reports for internal and external sources\nConduct quality control and auditing to ensure accuracy and appropriateness of data and configurations\nWork cross-functionally with Operations and Technology to improve data quality and reporting\nFor Consideration You Will Have\nBachelor’s degree in computer science, data science, finance or equivalent work experience\nSQL and advanced Excel experience\nPrior coding experience (a plus)\nProficiency with visual analytics software; MS Power BI, MS SQL Server Analysis is a plus!\nProven analytical, evaluative, and problem-solving abilities\nPassion for sharing your skills and data knowledge with others\nDemonstration of high degree of productivity while handling multiple tasks simultaneously, and easily adaptable to urgent matters when required\nStrong written and verbal communication, and research skills\nStrong relationship building skills for collaboration | 3.6 | Greenphire\n3.6 | King of Prussia, PA | -1 | 201 to 500 Employees | 2008 | Company - Private | Computer Hardware & Software | Information Technology | $50 to $100 million (USD) | -1 | 0 | 41000 | 78000 | 59500.0 | Greenphire | PA | 12 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3003 | na |
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| 920 | 1485 | Data Analyst | $53K-$92K (Glassdoor est.) | About Trexin Consulting\n\nFounded on the principles of trust, experience, and innovation, Trexin Consulting specializes in strategy execution – the effective implementation of business strategy to achieve a specific business goal. Also referred to as applied strategy, strategy execution\nsituations that Trexin frequently leads include: scaling capabilities for growth, optimizing operations for cost reduction, driving synergies for M&A and recovering projects in distress. Trexin’s services are right-sized for our Clients’ needs, ranging from our “Diamond Team” service when our Clients want Trexin to own an outcome and share delivery risk, to Expert / Advisory services for senior-level guidance, to Strategic Staffing\nservices for execution-oriented tasks and roles. Our expertise spans Healthcare, Life Sciences, Financial Services, and Products & Distribution, overlaid by multidisciplinary skills in the five capabilities essential to executing strategy: Aligned Enterprise, Program Execution, Technology, Innovation and Analytics.\n\nJob Title\n\nData Analyst\nTrexin Consulting is currently seeking a Solutions Architect to join our team and consult at our Healthcare client.\n\nKey Areas of Responsibility:\nFunction in an Agile environment meeting regularly with our client, coordinating efforts and backlog grooming.\nWork with both technical and business stakeholders to understand the data needs for projects.\nAttend requirement sessions when necessary, communicating any concerns to project leadership.\nTranslate complex technical terminology, concepts, and issues in terms understandable to technical and nontechnical management and resources staff.\nDevelop and maintains conceptual, logical, and physical architecture.\nProvide extensive technical, strategic advice and guidance to senior managers and technical resources in the creation and implementation of new data standards and databases or changes to existing ones.\nCollaborate with the Enterprise Architect and client IT team to establish and implement strategic initiatives.\nMake recommendations and assesses proposals for system optimization.\nIdentify operational issues recommend and implement strategies to resolve problems.\nKey Desired Skills, Experience and Knowledge:\nBachelor’s degree in discipline related to functional work or 7 plus years of relevant work experience.\nExperience in participating in analysis sessions with the user community to capture requirements clearly, completely, and correctly.\nExperience in identifying, analyzing, and translating business requirements into conceptual, logical, and physical architectural models in complex, multi-application environments.\nExperience implementing operational and dimensional logical and physical design for Claims Processing System solutions.\nExperience in creating, reviewing, and presenting Source Systems Analysis and Source to Target mapping across Staging, Integration and Presentation layers.\nExperience in delivering quality work on time with multiple, competing priorities.\nExcellent Troubleshooting and problem-solving skills must be able consistently identify critical elements, variables, and alternatives to develop solutions.\nAbility to create, refine and deploy an appropriate aggregate strategy.\nAbility to define, develop, and implement joint testing strategies with the business and IT QA.\nStrong communication and teamwork skills to interface with development team members, business analysts, and project management. Excellent communication and analytical skills.\nMultiple platform development experience.\nHealthcare Insurance claims processing system architecture experience required.\nHealthEdge/HealthRules implementation experience required.\n\nTrexin is an Equal Opportunity Employer and prohibits discrimination and\nharassment of any kind. Trexin is committed to the principle of equal\nemployment opportunity for all employees and to providing employees with a\nwork environment free of discrimination and harassment. All employment\ndecisions at Trexin are based on business needs, job requirements, and\nindividual qualifications. Trexin strictly prohibits and does not tolerate\ndiscrimination against employees, applicants, or any other covered persons\nbecause of race, color, religion, creed, national origin or ancestry,\nethnicity, sex (including pregnancy, childbirth, or related medical\nconditions), gender (including gender nonconformity and status as a\ntransgender individual), sexual orientation, age, physical or mental\ndisability, citizenship, past, current, or prospective service in the\nuniformed services, genetic information, or any other characteristic\nprotected under applicable federal, state, or local law.\n\nTrexin complies with the Americans with Disabilities Act (ADA), as amended\nby the ADA Amendments Act, and all applicable state or local law.\nConsistent with those requirements, Trexin will reasonably accommodate\nqualified individuals with a disability if such accommodation would allow\nthe individual to perform the essential functions of the job, unless doing\nso would create an undue hardship. Trexin will also, where appropriate,\nprovide reasonable accommodations for an employee's religious beliefs or\npractices. Trexin strictly prohibits discrimination against protected\nveterans, and Trexin utilizes affirmative action to recruit, hire, promote,\nand retain veterans.\n\nTrexin Consulting does not accept unsolicited resumes from individual\nrecruiters or third party recruiting agencies in response to job postings.\nNo fee will be paid to third parties who submit unsolicited candidates\ndirectly to our hiring managers or Recruiting Team. All candidates must be\nsubmitted via our Applicant Tracking System by approved Trexin Consulting\nvendors who have been expressly requested to make a submission by our\nRecruiting Team for a specific job opening. No placement fees will be paid\nto any firm unless such a request has been made by the Trexin Consulting\nRecruiting Team and such candidate was submitted to the Trexin Consulting\nRecruiting Team via our Applicant Tracking System. | 4.2 | Trexin Consulting\n4.2 | Chicago, IL | -1 | 51 to 200 Employees | 2005 | Company - Private | Consulting | Business Services | $25 to $50 million (USD) | -1 | 0 | 53000 | 92000 | 72500.0 | Trexin Consulting | IL | 15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6061 | na |
| 921 | 1488 | Data Analyst | $43K-$80K (Glassdoor est.) | Job Summary\n\nThe Business Analyst, as part of the Customer Success Organization (CSO) - Operations group, provides analytics services, project and program management, technology solutions, and process services to the entire Customer Success Organization. The Business Analyst is chartered with ensuring that CSO is equipped with innovative technology solutions that enable the CSO departments of Technical Support, Professional Services, Customer Success, and Technical Learning Services to deliver a world-class customer experience.\n\nCore Responsibilities\nProvide solutions and toolsets that enable CSO to deliver on its mission of providing a world-class customer experience and enhance business efficiency, drive workflow and quality improvements, optimize the cost model, and support strategic initiatives\nBe the primary interface between internal teams and stakeholders for the delivery of live product and application support\nManage workflows and processes related to incident response and resolution, including coordinating of teams and support availability\nWork closely with our product delivery teams to ensure our products/applications are ready for an on-time and seamless initial launch and transition to live support\nStrategic analysis, identifying performance trends, scanning business/industry trends, reviewing sales/financial analyses and interpreting data\nFrequent and transparent communication and applies professional project methodologies and standards\nDevelops reporting on key metrics. Distributes reports to business stakeholders on a regular basis.\nProactively delivers the most real-time, actionable customer insights possible, leveraging all tools and resources available to provide actionable solutions, participates in problem resolution and monitors and tracks\nProvide data analytics throughout project recommendations to all leadership levels to support strategic decision-making\nAnalyzes qualitative and quantitative data and identifies opportunities. Performs analysis of large data sets and provides recommendations for improvement related to the project with limited direction. Proactively determines areas for drill-down focus and conducts follow-up analyses to understand the drivers of performance gaps\nFacilitate problem-solving sessions with functional leaders across the organization\nDevelop comprehensive project plans that merge customer requirements with company goals and coordinate both Stakeholder leadership and Individual contributors with all project phases, from initial development through implementation\nReviews and documents current processes as part of gap or root cause analysis and input to improvement initiatives; identifies gaps that may be contributing to overall business and CX results. Reviews client documentation related to the initiative and conducts assessments\nAnticipate and influence details of future projects by communicating directly with Stakeholders and developing a deep understanding of their future business needs\nPerson Specification\n\nThe ideal for this role is passionate about using technology, data, and process to enable amazing customer and employee experiences. You demonstrate extreme levels of accountability and are results driven; you value teamwork and collaboration; you communicate transparently and with candour, while always being genuine; you act boldly, take initiative and are comfortable taking calculated risks to achieve successful outcomes; you execute with speed and integrity, delivering high quality work product which you are proud of.\n\nRequired Skills and Experience\nBachelor’s degree is required, MBA or other relevant advanced degree preferred\nMinimum 3-5 years’ experience delivering technology programs and initiatives in an environment where work activities and deliverables are dependent on a diverse group of technical and business functional experts\nStrong analytical thinking as well as problem solving skills; proven ability to apply quantitative data analysis techniques to improve work processes\nExtensive experience with Salesforce service console and other cloud-based applications\nEffective written and oral communication skills, strong interpersonal communication, and ability to work well in teams using verbal, non-verbal, written, and listening methods\nAbility to drive components of large, multi-functional projects\nEvaluate, document, and diagram business procedures and implement new solutions\nSelf-starter, strong initiative & leadership\nExperience with cloud-based tools and applications\nWork comfortably with cross functional teams including individual contributors, technical leaders, and executives\nExtensive experience using MS Project, Sharepoint, Smartsheets, Confluence, JIRA, Excel, or similar business applications\nPMP or equivalent certification desired\nSix Sigma trained, green belt certification a plus\nWe are mission driven.\n\nWe are passionate about our mission because our solutions protect businesses, critical infrastructures, and governments around the world.\n\nFind out more about Forcepoint’s Mission, Vision, and Values at www.Forcepoint.com and follow us on Twitter at @ForcepointSec.\n\nFind us on social at #forcepoint #forcepointculture #lifeatforcepoint to find out what its really like to work here from the team themselves.\n\n*Other duties\n\nPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\n\nForcepoint Is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. We are committed to hiring and retaining a diverse workforce, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.\n\nCertain positions with Forcepoint require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.\n\nIf you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentcoordinators@forcepoint.com. We will make every effort to respond to your request for disability assistance as soon as possible.\n\nApplicants must have the right to work in the location to which you have applied.\n\nWe are committed to hiring and retaining a diverse workforce, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.\n\n#LI-AK1 | 3.2 | Forcepoint\n3.2 | Austin, TX | -1 | 1001 to 5000 Employees | 2016 | Company - Private | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | -1 | 0 | 43000 | 80000 | 61500.0 | Forcepoint | TX | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7016 | na |
| 922 | 1489 | Data Analyst | $29K-$51K (Glassdoor est.) | Develops and maintains institutional databases, which facilitate internal and external reporting.\n\nEssential Functions\n\nCoordinates with internal/external entities to collect, manage, and analyze data; verifies information for completeness and accuracy.\n\nCompiles data for report generation that satisfies internal/external funding reporting requirements.\n\nProvides timely data analysis and generates reports for dissemination at presentations, trainings, and board meetings.\n\nDesigns, implements, and manages relational databases to meet obligatory set of data required by funding agencies; records and arranges information in specified order or groupings.\n\nAnalyzes user requirements, procedures, and problems to automate processing or to improve existing computer system.\n\nReviews computer system capabilities, workflow, and scheduling limitations to determine if requested program or program change is possible within existing system.\n\nStudies existing information processing systems to evaluate effectiveness and develops new systems to improve production or workflow as required.\n\nUpgrades system and corrects errors to maintain system after implementation; trains users in use of equipment.\n\nKnowledge of all Microsoft Office software and able to learn and use institutional software systems.\n\nComplies with all State and University policies.\n\nOther duties may be assigned.\n\nNo supervisory responsibilities.\n\nRequired Qualifications\n\nTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\n\nBachelor’s Degree.\n\nTwo years of experience, related to the statement of duties and responsibilities; or equivalent combination of education and experience.\n\nTraining in developing and analyzing institutional databases, which facilitate internal and external reporting.\n\nWorking Conditions\n\nThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\n\nWhile performing the duties of this job, the employee is regularly required to sit; use hands to feel; and reach with hands and arms. The employee is occasionally required to stand; walk; and talk or hear. The employee must regularly be able to lift and move up to 50 lbs.\n\nThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nThe noise level for this work environment is usually moderate.\n\nEO/AA Statement\n\nThe University of Texas at El Paso is an Equal Opportunity / Affirmative Action Employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, or sexual orientation and gender in employment or the provision of services in accordance with state and federal law. Discrimination on the basis of sex includes an employee’s or prospective employee’s right to be free from sexual harassment under Title IX of the Higher Education Amendments of 1972. | 4.3 | University of Texas at El Paso\n4.3 | El Paso, TX | -1 | 1001 to 5000 Employees | 1914 | College / University | Colleges & Universities | Education | $100 to $500 million (USD) | -1 | 0 | 29000 | 51000 | 40000.0 | University of Texas at El Paso | TX | 106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3494 | na |
| 923 | 1490 | Data Analyst | $45K-$81K (Glassdoor est.) | U.S. News & World Report is a digital first media company dedicated to helping consumers and business professionals make important decisions. We publish independent reporting, rankings, data journalism and advice that has earned the trust of our readers and users for more than 85 years.\n\nAs a trusted authority providing empowerment and guidance that improves the quality of life for consumers and communities, U.S. News ultimately leads to better life decisions.\n\nYour role in helping us shape the future:\n\nAs a member of the U.S. News Money team, you will be involved in supporting the Money product team to help drive the future of our business; you will be a key member of a fast-growing organization that is goal-oriented and re-shaping our future.\n\nThe primary responsibilities of the Data Analyst will be to ensure rankings data quality in a timely manner.\n\nAre you up to the challenge?\nCollect and analyze data for Money rankings, including fielding surveys\nDevelop expertise in ranking methodologies and data sources\nDevelop quality assurance procedures for data collected internally and from third party sources; ensuring accuracy of rankings computations and information displayed on usnews.com\nCoordinate closely with U.S. News technical team on the development efforts related to rankings launches; providing detailed written specs, assisting in troubleshooting bugs, and testing the accuracy of data loads\nAnalysis tasks may include computing scores on ranking factors, modeling impact of potential methodology changes, performing multiple regression analyses, testing for statistical outliers and producing data visualizations\nMeet specific project deadlines and timelines set by the product management and tech teams\nProvide editorial and PR team with data used in articles, short lists, and slideshows as well as assist in the review process prior to publication\nRecommend new methodologies and product features based upon data analysis\nOn-going data and product QA, with detailed-oriented eye for errors/ bugs\nYou should definitely have:\nBachelor’s degree in data science or a related field or equivalent experience\n3+ years relevant work experience\nHigh level proficiency working in MS Office Suite, specifically in Excel\nKnowledge of database structures and experience writing SQL select statements to query databases\nStrong oral and written communication skills\nExcelled in college-level quantitative coursework (economics, math, statistics or computer science)\nAttention to detail, excellent organizational skills and strong time management skills\nIt would be nice if you had:\nExperience in JIRA\nUp-to-date knowledge on Internet publishing and metrics, with an acute understanding of SEO, is a plus\nWhat it’s like to work with us:\n\nTalent is our best asset!\n\nWe invest in people with passion and potential who understand U.S. News’ dedication to our consumers.\nEntrepreneurial, mission-driven culture with core values of quality and integrity\nFocus on fostering personal and professional growth\nCompetitive benefits including paid vacation time, medical, tuition reimbursement, and training\nCollaborative Work Environment ~ Fun, diverse, inclusive and ambitious co-workers\nOther Job Info:\nThese statements are intended to describe the general nature and level of work being performed by employees assigned to this job. This is not intended to be an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job.\nPlease note that we will not offer visa sponsorship for this position. | 3.7 | US News & World Report ,L.P.\n3.7 | Washington, DC | -1 | 201 to 500 Employees | 1933 | Company - Private | Publishing | Media | $100 to $500 million (USD) | -1 | 0 | 45000 | 81000 | 63000.0 | US News & World Report ,L.P. | DC | 87 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3546 | na |
| 924 | 1491 | Data Analyst | $44K-$80K (Glassdoor est.) | Required:\nKnowledge of referential and large data formats and file structures\nKnowledge of databases, including big data technologies\nKnowledge of programming and SDLC\nKnowledge of Metadata tagging, data classification, and defining business and technical metadata\nAbility to convey complex concepts to business stakeholders in terms relevant to the business\nExcellent written and verbal communications skills\nExcellent data analysis skills\nOrganized, structured, methodical\nAnalytical with strong problem-solving ability\nStrong prioritization and time management skills\nExperience with these is a must:\nStrong Python and Spark\nHadoop and/or Big data solutions\nOracle, PL/SQL, Teradata\nShould have Data lineage experience\nExposure to AWS and/or Cloud environments\nShould have been a developer in past\nGood understanding on Code Repositories like GIT | 3.3 | Techligent\n3.3 | Philadelphia, PA | -1 | 1 to 50 Employees | -1 | Company - Private | IT Services | Information Technology | Less than $1 million (USD) | -1 | 0 | 44000 | 80000 | 62000.0 | Techligent | PA | -1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 849 | na |
| 925 | 1492 | Data Science Support Analyst | $63K-$106K (Glassdoor est.) | JM&A Group is one of the largest independent providers of finance and insurance (F&I) products in the automotive industry. For nearly 40 years, the company has helped automobile dealers achieve unsurpassed levels of performance. JM&A Group provides more than 3,800 dealerships with a variety of products and services, such as new and used vehicle protection plans, pre-paid maintenance plans and GAP protection programs. Among JM&A Group’s competitive advantages is its robust training and consulting services for F&I professionals, and the company is actively evolving to meet consumer preferences to remain a market leader and a partner of choice.\n\nJM&A, a division of JM Family Enterprises, Inc., is looking for an experienced Data Science Support Analyst to join its Customer Services Admin team. The Support Analyst will partner with the Data Scientists to: support production deployment of models and web applications related to technologies developed by the Data Science team; participates in new development of web applications and restful api’s; gain exposure to production machine learning model pipelines and the design and creation of new models using statistical techniques.\n\n\nResponsibilities:\nContinually check metrics and validate models, compute model performance metrics.\nAccess, analyze, cleanse, pre-process data.\nRetrieve data from multiple stores CSV/Teradata/Oracle/API/.\nTrain new models per specifications from Data Scientist.\nDeploy new models and determine when to replace existing.\nConfigure Linux server web sites and update code base as needed.\nMonitor web application performance and fix issues accordingly.\nConfigure SQLite/SQL/Mongo databases and stored queries, updating as needed.\nParticipate in meetings and offer ideas and solutions to present problems.\n#LI-JD1\n\nPython (numpy/pandas/matplotlib/sklearn/flask)\nVersion control (git)\nSQL and database APIs (cx_oracle, pymysql, sqlalchemy)\nCloud deployment experience (AWS, containerization) and familiarity with AWS services\nExperience working in an Agile/Scrum environment\nMachine Learning algorithm development experience.\nAbility to learn new technologies rapidly and turn around implementations.\nExcellent communication skills (both written and verbal) with ability to effectively communicate to all levels with varying degrees of technical knowledge\nCritical thinking Independent problem resolution\nAbility to work in a team and collaborate with others\nBachelor's Degree (Data Science, Analytics, Business, Finance, Computer Science, Engineering or related field)\n2-4 years experience (candidates with a relevant Masters degree and less experience will also be considered). | 4.1 | JM Family\n4.1 | Deerfield Beach, FL | -1 | 1001 to 5000 Employees | 1968 | Company - Private | Vehicle Dealers | Retail | $10 to $25 million (USD) | -1 | 0 | 63000 | 106000 | 84500.0 | JM Family | FL | 52 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2663 | na |
| 926 | 1493 | Data Analyst with Pyspark | $35K-$64K (Glassdoor est.) | Basic Job Information\nJoborder Id : 987656363\nTitle : Data Analyst with Pyspark\nLocation : Bentonville, AR\nPosition Type : Contract\nNo of Opening : 1\nJob Description | 4.1 | SysMind\n4.1 | Bentonville, AR | -1 | 51 to 200 Employees | 1999 | Company - Private | Enterprise Software & Network Solutions | Information Technology | $25 to $50 million (USD) | -1 | 0 | 35000 | 64000 | 49500.0 | SysMind | AR | 21 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 165 | na |
| 927 | 1495 | Validation Laboratory Software Tool Developer - Data Analyst | $36K-$65K (Glassdoor est.) | Job Title\nValidation Laboratory Software Tool Developer - Data Analyst\n\n22-Oct-2020\n\nDivision\nVitesco Technologies\n\nJob Description\nOverview:\nThis position has two missions: First, manage data within the appropriate tools as well as analyze and report data to the management team. Secondly, manage the administration tools and databases for the department.\nCore Responsibilities:\nData Analytics & KPI Reporting\n• Manage the department data – process the data in a clear and concise manner. Provide thorough reports when requested. Develop new methods to improve data collection, data manipulation and data reporting. Communicate the information to the requester.\n• Conformance to plan – develop a firm understanding of the operations and associated expectations. Manage all KPIs to ensure a cohesive collection according to their purpose and function. Report regular status and issues in a clear and concise manner.\n• Configuration and change management - Ensure input & output is within prescribed guidelines. Develops, updates and maintains all changes, configuration settings and protocol for documents under control (i.e. in case of audits to have a change history/approval). Audit for conformance, accurately document deviations and close all associated Incidents.\n• Create reports and data visualizations to guide decision-making across the Vitesco Technologies Laboratories organization, at local, regional and global levels\n• Ability to work in a fast-paced environment and provide accurate and relevant data analysis, sometimes under unclear and ambiguous guidelines\nSoftware and Tool Development\n• Develops and maintains department lab administration tools and databases (VTL Web Portal) – Ensures that all tools are maintained and up to date. Re-engineer/develop the databases and GUI’s to match the department needs.\n• Interacting with global lab members to establish project requirements and expected outcomes, with consideration of future impacts.\n• Act as a consultant by gaining a deep understanding of internal customer needs and playing an integral part in defining and proposing practical solutions to meet and exceed customer expectations.\n• Experience with Visual Studio and ASP.NET Webforms development framework\n• Experience writing and optimizing SQL queries\n• Integrating third-party solutions through Web Services or other frameworks\n• Realize continuous improvement changes and modifications to the existing tool set\n\nAdditional Responsibilities:\n• Strategic planning - Contributes strategy, operational goal setting, and budgeting to reach business objectives and expectations\n• Customer interface – Presentation of testing topics to internal and external customers\n• Adaptability – managing change orders in an expedient and accurate manner\n• Issues management/mitigation – apply situational solutions to each problem or concern\n\nAuto req ID\n160147BR\n\nJob Category\nEngineering\n\nJob Requirements\nRequired Qualifications:\nData Analytics & KPI Reporting\n• Demonstrates knowledge of data, tools and administration\n• Prior experience with data collection, analysis and processing\n• Develop applications or tools used to provide summaries, KPIs or improve efficiencies. For example: developed MS Excel or MS Access tools/macros to improve data analysis.\n• Strong SQL skills (Common Table Expressions, case statements, subqueries, joins, unions)\n• Familiarity with BI tools such as MS Power BI, preferable\n• Strong Excel skills (Vlookup, Index Match, nested formulas, conditional logic, pivot tables, VBA, etc.)\n\nSoftware and Tool Development\n• Programming Languages: C#, ASP.NET, HTML, CSS, Javascript, MS SQL Server (T-SQL)\n• Optional Programming Languages: Python, jQuery\n• Database development & administration including building tables, indexing, stored procedures and functions\n• Strong back-end and front-end web development skills\n• Object-oriented programming knowledge with a language such as C# or Java\n• Preferred Skills: Process automation with tools such as Python and Microsoft Power Automate\n\nPreferred Qualifications:\n• Bachelors of Science degree with a focus on data analytics, actuarial science, finance, economics, software engineering, or other related technical field\n\nLegal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.\n\nContinental is not able to pay relocation expenses for this opportunity.\n\nCountry\nUnited States\n\nJob Type\nProfessional\n\nEEO Statement\nEEO / AA / Disabled / Protected Veteran Employer. Continental offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, as a federal contractor, Continental complies with government regulations, including affirmative action responsibilities, where they apply. To be considered, you must apply for a specific position for which Continental has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, Continental provides reasonable accommodations to qualified individuals with a disability. If you need assistance in the application process, please reply to Careers@conti-na.com or contact US Recruiting at 248.209.7425. This telephone line and email address are reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process. Please do not call about the status of your job application, if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a call back.\n\nAbout Continental\nVitesco Technologies is a leading international developer and manufacturer of state-of-the-art powertrain technologies for sustainable mobility. With smart system solutions and components for electric, hybrid and internal combustion vehicles, Vitesco Technologies makes mobility clean, efficient and affordable. The product range includes electric drives, electronic control units, sensors and actuators, and exhaust-gas aftertreatment solutions. In 2019, Vitesco Technologies, a Continental business area, recorded sales of EUR 7.8 billion and employs almost 40,000 people at around 50 locations worldwide. Vitesco Technologies is headquartered in Regensburg, Germany.\n\nDivision Footer Text\nReady to drive with Continental? Take the first step and fill in the online application.\n\nPosting Location\nAuburn Hills, MI | 3.9 | Continental\n3.9 | Auburn Hills, MI | -1 | 10000+ Employees | 1871 | Company - Public | Miscellaneous Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 36000 | 65000 | 50500.0 | Continental | MI | 149 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 6872 | na |
| 928 | 1496 | Data Analyst | $71K-$96K (Glassdoor est.) | The Celestar Corporation has an IMMEDIATE NEED to identify a Data Analyst. Please review the position description below. If interested and qualified we welcome you to apply for this challenging opportunity.\n\nLOCATION: Doral, Florida\n\nCLEARANCE/ACCESS: Active Top Secret Level Clearance with SCI Access; Clearance, Access and Invesitgation must appear in JPAS and be within scope (5 - Years)\n\nOVERVIEW: Perform a variety of engineering tasks, either independently or under supervision, which are broad in nature and are concerned with execution of JFS, JT, T&E or QRT activities.\n\nRESPONSIBILITIES:\nProvide support to the Joint Test and Evaluation program, USSOUTHCOM and JIATF-South for ISR employment planning and CONOPS validation, by developing operational doctrine that supports integrated ISR with multiple assets.\nProvide advanced data metrics development, data collection planning, post-event analysis and evaluation for project test events.\nObserve and analyze test and evaluation operations to ensure data collected addresses Measure of Performance/Effectiveness and to ensure conformity with military doctrines, policies, and procedures.\nResponsible for conducting in-depth functional area research and providing ORSA expertise in TTX and Field Test events.\nQUALIFICATIONS:\nExperience with data collection and analysis planning, test issue resolution, post-test data analysis, and report preparation and production\nAbility to analyze operational test activities and utilize advanced knowledge of mathematics, statistical and engineering methods in determining solutions to complex problems\nExperience developing data collection and analysis methodologies to ensure that all test data collected is of sufficient quantity, quality, and relevance to meet test objectives\nKnowledge of joint ISR planning and operations doctrine\nExperience in joint or operational Test and Evaluation (T&E) preferred\nExperience with ISR Platform capabilities and planning for long-duration operations preferred\nREQUIRED EDUCATION AND EXPERIENCE:\nLevel I: Bachelor's Degree with at least 10 years of relevant experience or Master's Degree with at least 4 years of experience\nLevel II: Bachelor's Degree with at least 14 years of relevant experience or Master's Degree with at least 9 years of experience\nLevel III: Bachelor's Degree with over 20 years of relevant experience, Master's Degree with at least 12 years of relevant experience, or Ph.D. with at least 6 years of relevant experience\nIMPORTANT NOTE: This is a Best Athlete Selection Process! Please ensure that the required and/or desired experience is reflected on your resume to receive fair and competitive consideration.\n\nCome onboard with a company that Values its Employees!\n\nCelestar, a Veteran Owned Company, is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance and Employee Health Insurance. We also offer a 401(k) retirement company match, paid Holidays and Paid Time Off!\n\nMinimum physical demands for on task positions: Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential.\nTeam Members on Task (CONUS only, minimal or no job-related travel):\n• Work Environment: The noise level in the work environment is usually moderate.\n• Office Type Environment with Temperature Control. May be exposed to chemicals related to office equipment. The noise level in the work environment is usually moderate. General office environment.\nTeam Members on task (CONUS and OCONUS assignments, some travel):\n• Specific vision abilities required by the job may include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.\n• Team Members deployed to a combat zone must be physically able to live in austere conditions during off duty time that may include extremes in temperature, noise, and must not have any medical conditions that require access to uninterrupted power sources.\n• Team Members deployed to a combat zone will be subject to hazardous conditions which may require them to wear a kevlar helmet, individual body armor and/or wear a gas mask for extended periods of time.\n\nPAY TRANSPARENCY POLICY STATEMENT\nThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.\n\nCelestar is an Equal Employment Opportunity Affirmative Action Employer that is committed to providing equal opportunity for all applicants or employees on the basis of their race, color, sex, sexual orientation, gender identity, national origin, age, religion, veteran status, disability, or any other characteristic protected by law.\n\nIf you should have difficulty accessing our online application, please call us during normal working hours for immediate assistance @ (813)-627-9069\n__ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __ __\n\nMinimum physical demands for on task positions: Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential.\nTeam Members on Task (CONUS only, minimal or no job-related travel):\n• Work Environment: The noise level in the work environment is usually moderate.\n• Office Type Environment with Temperature Control. May be exposed to chemicals related to office equipment. The noise level in the work environment is usually moderate. General office environment.\nTeam Members on task (CONUS and OCONUS assignments, some travel):\n• Specific vision abilities required by the job may include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.\n• Team Members deployed to a combat zone must be physically able to live in austere conditions during off duty time that may include extremes in temperature, noise, and must not have any medical conditions that require access to uninterrupted power sources.\n• Team Members deployed to a combat zone will be subject to hazardous conditions which may require them to wear a kevlar helmet, individual body armor and/or wear a gas mask for extended periods of time.\n\nPAY TRANSPARENCY POLICY STATEMENT\nThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.\n\nCelestar is an Equal Employment Opportunity Affirmative Action Employer that is committed to providing equal opportunity for all applicants or employees on the basis of their race, color, sex, sexual orientation, gender identity, national origin, age, religion, veteran status, disability, or any other characteristic protected by law.\n\nIf you should have difficulty accessing our online application, please call us during normal working hours for immediate assistance @ (813)-627-9069 | 4.0 | Celestar Corporation\n4.0 | Doral, FL | -1 | 1 to 50 Employees | -1 | Company - Private | Wholesale | Business Services | Less than $1 million (USD) | -1 | 0 | 71000 | 96000 | 83500.0 | Celestar Corporation | FL | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9139 | na |
| 929 | 1497 | Data Analyst - Financial | $49K-$88K (Glassdoor est.) | Provide analytical support and user assistance within the assigned financial business systems within Community Healthcare System. Lead and perform complex analysis in an evolving data environment. Collect and study data to reveal ways to enhance operational efficiencies. Assist customers in transforming data into information through logical data models which are then used to synthesize the data into information that fits the customer’s needs. Contribute to providing appropriate information and reports to decision makers to help make better fact-based business decisions. Transforming data includes importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for decision-making purposes. Present data in charts, graphs, tables, designing and developing relational databases for collecting data. May provide database design and management services. Make recommendations about the methods a company should use to collect, analyze and manage data to improve data quality and the efficiency of data systems.\n\nTo Qualify You Must Have:\n\nBachelors Degree required, preferably in Finance, Economics or healthcare related.\nMinimum 3-5 years of experience in Financial Analysis and a basic understanding of healthcare systems and general operations is preferred.\nProficiency in using Windows operating systems, Microsoft Office applications, Internet and Intranet required.\nIntermediate to Advanced level of proficiency with MS Outlook, Word, Excel and other computer system applications.\nPowerPoint and other analytical applications such as Crystal Reports and SAS are a plus; must be able to develop simple graphs and charts to explain how the analysis will influence the business.\nPossess exceptional verbal written communication and presentation skills, analytical and data management skills knowledge necessary to explain results of statistical findings in layman terms a business customer will understand.\nStrong interpersonal skills and ability to work collegially and collaboratively with all levels and functions with the company to foster partnership and teamwork.\nMust have the ability to use cognitive reasoning to analyze, diagnose and resolve problems.\nExcellent organizational and project management skills with the attention to detail, without losing focus on the overall objective and goal.\nExcellent problem-solving, organization and analytical skills.\nAbility to work independently and multi-task while working in a collaborative, team environment with a positive attitude.\nMust be able to work in a fast paced, technical and cross-functional environment. | 3.6 | Community Foundation of Northwest Indiana, Inc.\n3.6 | Munster, IN | -1 | 1001 to 5000 Employees | 1985 | Company - Private | Industrial Manufacturing | Manufacturing | $100 to $500 million (USD) | -1 | 0 | 49000 | 88000 | 68500.0 | Community Foundation of Northwest Indiana, Inc. | IN | 35 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2644 | na |